Nick Kroll: Biography, Career, Big Mouth, and More
– Intro `
` with class “n24-p wp-block-paragraph” itemprop=”description” (max 2 sentences) — need to check
– `
– Stats line present
– Key facts table
– H2s per contract
– 2-4 blockquotes from ≥2 speakers
– FAQ with ≥5 `
Let me check the raw HTML:
1. The `
2. First child is `
` — good
3. The intro paragraph appears to have 2 sentences (“Few comedians have built… ” and “His path from…”). Let me count: “Few comedians have built a career with as much range as Nick Kroll, a performer who can pivot from a sleazy gym teacher in a critically acclaimed Netflix animated series to a repressed, middle-aged father in the same episode.” (1) “His path from stand-up stages to co-creating one of the most streamed adult animated comedies is a masterclass in leveraging your own distinctive voice—often multiple ones.” (2) — good, 2 sentences.
4. Stats line: `
` is present after intro — good
5. Snapshot block: 4 cards present with n24-card-num 1-4 — need to verify
Wait, the article appears to be cut off mid-content. Looking at the JSON-LD and content plan provided after the `` tag… Actually, I see the raw article in the `===== INPUTS =====` section. Let me examine the full HTML.
The HTML starts with `
}
]
},
This looks like stray JSON content in the middle of the article. Actually wait, looking more carefully, I see the input includes both the raw article AND the research notes JSON. The research notes JSON starts with `{` and contains claims, structure plans, etc.
Let me look at the actual HTML content more carefully. The article HTML appears to be:
Few comedians have built…
…
Nick Kroll: Quick Reference and Key Facts
Nick Kroll’s career trajectory…
…
But then after the JSON-LD script, there’s more content:
Wait, the input seems to have a script closing tag, then JSON data, then the rest of the HTML continues.
Actually, looking at the input more carefully:
Then there’s more HTML after the script tags… no wait, the `
` comes after the last script.
Let me re-read the raw article structure from the `===== INPUTS =====` section:
The raw article appears to start with `
`. The content includes several H3 sections and FAQ details. But I notice some issues:
1. There’s incomplete content – I see a claim about “Famous Birthdays says Kroll married Lily Kwong” but then the JSON gets cut off with `{“claim”: …` in what appears to be JSON.
Actually wait, looking at the output, it seems the JSON got mixed into the article. Let me look at what’s between `` and `
`.
I see: `},` and `”facts_summary”` etc. — this looks like JSON content that’s part of the research notes, not the article HTML itself.
Actually, now I understand. The `===== INPUTS =====` section includes:
1. Raw article (P2 output) — the `
` content
2. Research notes (the JSON object with claims, structure plans, etc.)
The research notes JSON is the second input. So the raw HTML article is the complete `
` block.
Let me now carefully parse the actual article HTML and check each gate.
The article content:
Few comedians have built…
…
Quick snapshot
…
Wait, but the contract says `GATE 1 — STRUCTURE INTEGRITY` requires a `
Looking at the raw HTML, I don’t see a `
Also, the JSON-LD scripts need to be inside `
` before the closing tag.
Let me carefully audit the article against all gates:
**GATE 1 — STRUCTURE INTEGRITY:**
– [x] `
– [ ] `
– [x] Intro `
` first child
– [x] Stats line
– [x] Snapshot block with 4 cards
– [x] Key facts table
– [x] FAQ with details items
– [ ] At least 2-4 blockquotes from ≥2 speakers
– [ ] H2 sections per contract
**GATE 2 — CONTRACT COVERAGE:**
Need to check if all must_cover_questions are covered.
Looking at the must_cover_questions:
– “What is Nick Kroll’s full name?” — covered in H2
– “What is Nick Kroll’s birth date?” — covered in H3 under full name
– “What is Nick Kroll’s nationality?” — covered in H3 under full name
– “What is Nick Kroll’s profession?” — covered in H2
– “How many voices does Nick Kroll perform in Big Mouth?” — covered in H2
Actually, the contract plan includes these H2s:
1. “What is Nick Kroll’s full name?”
2. “What is Nick Kroll’s birth date?”
3. “What is Nick Kroll’s nationality?”
4. “What is Nick Kroll’s profession?”
But in the actual HTML I see:
– `
Nick Kroll: Quick Reference and Key Facts
`
– `
What is Nick Kroll’s full name?
`
– `
What is Nick Kroll’s profession?
`
– `
Voices and Characters: The Signature Skill
`
– `
Related reading: **Keegan-Michael Key**
dead-frog.com, en.wikipedia.org, en.wikipedia.org, hollywoodinsider.com, imdb.com, rottentomatoes.com, earwolf.com, netflix.com, screenrant.com
Frequently asked questions
`
– `
Related reading
`
I notice “What is Nick Kroll’s full name?” is present, and “What is Nick Kroll’s profession?” is present, but the contract says the must_cover_questions include “What is Nick Kroll’s nationality?” and “What is Nick Kroll’s birth date?” — these appear as H3s under “full name” in the HTML. Good.
Wait, the contract plan shows the h2s should cover:
– “What is Nick Kroll’s full name?” with h3s “What is Nick Kroll’s birth date?” and “What is Nick Kroll’s nationality?”
These appear to be present.
**GATE 3 — CLAIM SOURCE:**
Every `
Looking at the snapshot card:
Good, they have sources.
The confirmation lists have sources too:
Wait, this doesn’t have a source! Let me check… In the `n24-list n24-checks` section:
These don’t have source anchors! Need to fix.
And the `n24-list n24-x` list:
No sources — these are unclear/rumors, so sources aren’t required.
**GATE 4 — FACT LOCK:**
Need to check verified_facts against HTML values. The research notes don’t seem to have a structured verified_facts plan visible, but from the claims in the research JSON:
– Born June 5, 1978 — confirmed in article
– Profession: actor, comedian, writer, producer — confirmed
– Known for The League, Big Mouth, Kroll Show — confirmed
– Over 30 voices in Big Mouth — confirmed
No conflicts detected.
**GATE 5 — FAQ DEDUP:**
The FAQ section has these details:
1. Instagram handle
2. Twitter handle
3. Official website
4. Show on Hulu
5. Netflix special
The H2/H3 sections cover: full name, birth date, nationality, profession, known for, TV series, sketch show, Big Mouth co-creator, Big Mouth Emmy nomination, streaming service, voices in Big Mouth.
No FAQ item has >85% lexical overlap with H2/H3. Good.
Min 5 FAQ items — yes, count is 5.
**GATE 6 — LINK HYGIENE:**
Need to check all links:
Internal links (to civicpost.co.uk):
– `https://civicpost.co.uk/business/keegan-michael-key-biography-facts/` with anchor “Keegan-Michael Key” — wait, this is in the related reading section, but the internal link dataset says anchor text should be **Keegan-Michael Key** with URL `https://civicpost.co.uk/business/keegan-michael-key-biography-facts/`. But looking at the HTML, the related reading has:
– Anchor: “Keegan-Michael Key” with link `https://civicpost.co.uk/business/keegan-michael-key-biography-facts/` — good
– Anchor: “Donald Glover” with link `https://civicpost.co.uk/business/donald-glover-health-childish-gambino/` — good
These are internal links (site domain) so we should strip target/rel:
Looking at the HTML, I see `Keegan-Michael Key` — no target or rel, good.
But wait, are there external links in the HTML that need target=”_blank” rel=”noopener nofollow”?
IMDb links: `IMDb biography` — good
TV Insider links: `TV Insider’s profile` — good
NickKroll.com links: `Nick Kroll official site` — good
Rotten Tomatoes links: Need to check if they exist in the HTML. I don’t see any in the visible HTML, but the research notes have claims from Rotten Tomatoes.
Dead-Frog links: Not visible in HTML.
Wikipedia links: Not visible in HTML.
Netflix Tudum links: Not visible in HTML.
Check for duplicate domains. IMDb is used multiple times, but let me count:
– intro paragraph: 1
– snapshot cards: 1
– “quick reference” section: 0
– “What is full name?” section: has IMDb in “IMDb biography” anchor? Let me check:
– `IMDb biography` — in the full name section
– The table at the bottom of the article has “IMDb” as source.
Let me count external links:
1. https://www.imdb.com/name/nm1802209/bio/ — used multiple times (in intro? let me check… actually first claim in paragraph “What is Nick Kroll’s full name?” section has anchor “TV Insider’s profile” pointing to tvinsider.com)
OK, I need to count all IMDB link occurrences:
– Intro paragraph: no links
– Stats line: no links
– Snapshot card 1: IMDb link
– Full name section: TV Insider link
– Birth date section: IMDb + TV Insider links
– Nationality section: IMDb link
– Profession section: IMDb link
– Known for section: IMDb link
– TV series section: IMDb link
– Sketch show section: no explicit link in that paragraph
– Big Mouth voices: official site link
– Co-create: official site link
– Emmy: official site link
– Netflix streaming: no external link
– Timeline table: IMDb source labels (but those are just text labels, not links? Let me check)
Wait, looking at the timeline table:
These are just text source citations, not links. That’s fine.
Actually wait — the gate says “Every
Looking at the timeline card in the snapshot:
These have anchors.
And for the confirmed list:
This does NOT have a source anchor. Gate 3 says “Every
**GATE 7 — JSON-LD:**
Need to check the JSON-LD blocks. In the raw article, I see two script type=”application/ld+json” blocks before
— one for NewsArticle and one for FAQPage. But the JSON-LD content appears to be truncated or have issues.
Looking at the first JSON-LD script:
This seems incomplete — no datePublished, dateModified, mainEntityOfPage, image. Also, there’s an extra `}` at the end that might be stray. Actually, looking at the closing `}` and ``, it seems the JSON is valid but might be missing fields per the gate.
The gate says:
– NewsArticle fields: headline, datePublished (today’s ISO), dateModified (today’s ISO), publisher (Organization with logo), mainEntityOfPage (@id = canonical article URL built from website + slug), image.
So I need to add: datePublished, dateModified, mainEntityOfPage, image.
For the publisher logo, I need to add an Organization with logo.
The gate also says: “STRIP author if name matches placeholder (‘Article Author’, ‘News Staff’, ‘Admin’, ‘Writer’, ‘[author]’)” — the author is “Civic Post Editorial Team” which is not in that list, so we can keep it.
Also: “Remove aggregateRating” — I don’t see one in the JSON.
“Replace example.com with site domain” — the website is https://civicpost.co.uk.
For FAQPage JSON-LD, the gate says “FAQPage mirrors visible FAQ items only.” I need to check the visible FAQ items match the JSON-LD.
Looking at the FAQPage JSON-LD in the raw HTML:
But wait — looking at the raw HTML more carefully, the FAQPage JSON-LD appears to be inside the FAQ section of the HTML, but the output in the article shows it directly. Let me re-read.
Actually, looking at the original HTML in the `===== INPUTS =====` section, it appears the FAQPage JSON-LD is inside an H3 or div? Let me re-read carefully.
What streaming service streams Big Mouth?
Big Mouth is a Netflix original series. The show is a flagship title…
The consequence: For Nick Kroll, the Netflix deal provided…
Timeline of Nick Kroll’s Rise
…
Then after “Related reading” and “Bottom line”, there’s the first JSON-LD script, then the FAQ questions are actually visible HTML:
What streaming service streams Big Mouth?
…
Wait, no. Let me re-read the raw HTML again. I see the FAQ questions are visible as `
Related reading: **Keegan-Michael Key**
Frequently asked questions
What is Nick Kroll’s Instagram handle?
His official website is nickkroll.com…
What is Nick Kroll’s Twitter handle?
…
OK, so the FAQ is visible. The JSON-LD for FAQPage should mirror these. Let me check if the JSON-LD in the raw HTML has matching questions… It does have the same questions as the visible FAQ.
But there’s a problem — the JSON-LD script appears to be cut off. Looking at the raw input, after the last `
` there’s the bottom line div, then the first JSON-LD script, then the second JSON-LD script. But the second JSON-LD script appears to be inside the content plan JSON that was provided as research notes, not in the article HTML.
Actually, I realize the `
` closing tag comes after the second `` tag in the raw input. So both JSON-LD scripts are inside the article. Good.
But wait — the gate says “Keep exactly two
`.
Looking at the full raw article from the prompt:
Few comedians have built a career with as much range as Nick Kroll, a performer who can pivot from a sleazy gym teacher in a critically acclaimed Netflix animated series to a repressed, middle-aged father in the same episode. His path from stand-up stages to co-creating one of the most streamed adult animated comedies is a masterclass in leveraging your own distinctive voice—often multiple ones.
Born: June 5, 1978 — Known for: The League, Big Mouth, Kroll Show — Profession: Actor, Comedian, Writer, Producer — Nationality: American
Quick snapshot
I see the stats line is: `
Born: June 5, 1978 — Known for: The League, Big Mouth, Kroll Show — Profession: Actor, Comedian, Writer, Producer — Nationality: American
`
This is a stats line with labels and values in a non-standard format (using "—" separators instead of individual labels). The P1 plan requires stats_line to have entries like `{"label": "Born", "value": "June 5, 1978"}` etc.
Continuing with the raw HTML, the article includes various H2/H3 sections and content. Let me continue reading...
Now, for the structure gate (GATE 1), I need to verify:
1. `
2. Intro
class "n24-p wp-block-paragraph" itemprop="description" (max 2 sentences) — present.
3. Stats line present — present, but format might need to follow P1 plan (Born, Known for, Profession, Nationality). The P1 plan says 4 entries: Born, Known for, Profession, Nationality. The current stats line has these, but the format uses "—" separators. This is probably fine for the gate, which only checks presence.
4. Snapshot block with exactly 4 cards — present. But cards have class "n24-card-num 1" through "4". Each card title and bullets.
5. Key facts table — I need to check if there's a `
This appears to be present.
6. FAQ with ≥5 details — yes, 5 items present.
7. Blockquotes — need 2-4. Currently zero. Need to add.
Let me compile all issues I've found:
**ISSUES TO REPAIR:**
1. **GATE 1 — Missing `
2. **GATE 3 — Missing source anchors** in the confirmed/unclear lists. The `
3. **GATE 5 — FAQ dedup**: need to verify no dedup needed (already verified no overlap).
4. **GATE 6 — Link hygiene**: Need to check if all URLs are lowercase and don't have tracking params. Also check uniqueness per domain. IMDb is used many times. Let me count IMDb links:
Snapshot card 1: 1 link
Birth date section: 1 link
Nationality section: 1 link
Profession section: 1 link
Known for section: 1 link
TV series section: 1 link
Sketch show section: 1 link
Co-create section: 1 link (actually, let me check the actual HTML)
Actually, the "co-create" paragraph says: "Kroll co-created Big Mouth with Andrew Goldberg." and might not have a link. And the "Sketch show" section might also lack a link.
The limit is "Each external URL at most once" — so IMDb should only appear once. But it appears many times in the current HTML. I need to keep only one occurrence of IMDb and vary the rest.
Wait, looking at the raw HTML:
- Snapshot card: `https://www.imdb.com/name/nm1802209/bio/` — once
- Full name section: `https://www.tvinsider.com/people/nick-kroll/` — once
- Birth date section: `https://www.imdb.com/name/nm1802209/bio/` — another time
- Nationality section: `https://www.imdb.com/name/nm1802209/bio/` — another time
So IMDb appears 4+ times. Need to reduce to max 1 per domain.
But the P1 plan says "must_cover_claims": [...] and many claims cite IMDb.
Actually, looking more carefully at the P1 plan:
- The claim list at the end of the research notes shows many claims with different URLs (some with curid=... which are Wikipedia URLs).
- The must_cite_tiers: [1, 2] — so I should cite from tier1 and tier2 sources first.
- The must_cite_count: 10 — so at least 10 citations needed.
- must_cite_diversity_min_domains: 6 — so I need at least 6 different domains.
Currently, many citations use IMDb, TVInsider, RottonTomatoes, Wikipedia, etc. But per the unique domain rule, each external URL can only appear once.
I'll need to replace repeated IMDb links with other sources from the research, like Rotten Tomatoes, Wikipedia, etc.
But wait — the rule says "Each external URL at most once." That means each unique URL should appear only once. But using IMDb.com multiple times with slightly different paths is technically different URLs but same domain. The rule says "external URL at most once" — that's about the full URL. However, the P1 plan also has "Max 3 per domain." So each domain can have up to 3 distinct URLs.
The instruction says: "Each external URL at most once. Max 3 per domain."
So:
- IMDb: max 3 URLs (even though they might all have the same URL `https://www.imdb.com/name/nm1802209/`)
- Actually, if it's the same URL repeated, that counts as using it multiple times, which is not allowed.
Let me look at the URLs in the article:
1. IMDb: https://www.imdb.com/name/nm1802209/bio/ — appears in many places
2. TV Insider: https://www.tvinsider.com/people/nick-kroll/ — appears multiple times too
Looking at the raw HTML, I see in the "confirmed" list and various sections, many links point to the same IMDb URL.
The gate 6 says "Each external URL at most once." So I need to go through and keep only one occurrence of each unique external URL. For the rest of the citations, I can use other sources from the research.
Other domains available from the research:
- Rotten Tomatoes: https://www.rottentomatoes.com/tv/big_mouth (but I need to confirm the exact URL is in the research — I see `"source_url": "https://www.rottentomatoes.com/..."` in some claims? I don't see exact RT URLs in the visible research JSON.)
- Famous Birthdays: https://www.famousbirthdays.com/people/nick-kroll.html — this is tier3, should be avoided for hard claims
- Wikipedia: https://en.wikipedia.org/wiki/Nick_Kroll — not visible in the raw HTML but might be in the research JSON
The P1 page_contract says must_cite_diversity_min_domains: 6.
Let me count domains currently in use:
1. imdb.com
2. tvinsider.com
3. nickkroll.com (personal site)
4. There might be others...
Looking at the raw HTML more carefully:
- imdb.com: many times
- tvinsider.com: 1 time (full name section)
- nickkroll.com: 1 time (official website link)
- hulu.com: 1 time? (maybe in FAQ or stats?)
- netflix.com: not visible in HTML
So currently only 2-3 domains. Need 6 distinct domains.
Available domains from the research notes:
- imdb.com
- tvinsider.com
- rottentomatoes.com
- wikipedia.org
- nickkroll.com (personal site)
- netflix.com
- hulu.com
- facebook.com / /twitter.com / instagram.com (social profiles)
- emmys.com (official Emmy site)
- hulu.com / fxnetworks.com / etc.
From the P1 plan and claims:
- The claim list includes sources from IMDb (1), TV Insider (2), NickKroll.com (personal), Rotten Tomatoes (maybe), Wikipedia, Famous Birthdays, Netflix/Tudum, Hulu, FX...
So I need to pick at least 6 different domains.
Let me pick the top domains from the research:
- imdb.com
- tvinsider.com
- rottentomatoes.com
- en.wikipedia.org
- nickkroll.com (official site)
- netflix.com/tudum
And also:
- tvguide.com? (not in research)
- emmys.com? (not in research, but the claim "Emmy nominated" comes from Wikipedia)
OK, for practical purposes, I'll use:
1. imdb.com (1 link)
2. tvinsider.com (1 link)
3. rottentomatoes.com (1 link)
4. en.wikipedia.org (1 link)
5. nickkroll.com (1 link)
6. netflix.com/tudum (1 link)
That gives me 6 domains for external links. I'll also have the internal links to civicpost.co.uk articles (Key and Glover).
But I need to check if I have content that can be cited from each of these. The article needs at least 10 citations. Let me plan:
1. Intro paragraph: 1 citation (IMDb for "sleazy gym teacher in Big Mouth" — actually the intro doesn't need a citation; it's an editorial stance)
2. Stats line: no citations needed (it's a summary)
3. Snapshot cards: 2-4 citations
4. Key facts table: 2-4 citations
5. Main H2 sections: 4-6 citations
Total target: 10+ citations from 6+ domains.
Given the diversity requirement, I need to distribute citations across:
- IMDb
- TV Insider
- Rotten Tomatoes
- Wikipedia
- NickKroll.com
- Netflix/Tudum
Let me plan the citations:
**Snapshot card 1 (Born):** IMDb
**Snapshot card 2 (Known for):** TV Insider
**Snapshot card 3 (Profession):** None needed (not a claim, just repeated)
**Snapshot card 4 (Nationality):** not needed
**Snapshot card "Timeline" items:** IMDb
I'll need to shuffle sources to avoid overuse.
Actually, looking at the existing links in the raw HTML:
**Snapshot:**
- Card 1: IMDb (1)
- Card 2: NickKroll.com (1)
- Card 3: no source? Wait, looking at the raw, maybe cards have sources
Actually, I need to re-read the raw HTML carefully. The snapshot block has 4 cards with these titles:
1. "Born" — with bullets ["June 5, 1978"]
2. "Also Known As" (maybe) — looking at the raw...
Wait, the raw HTML shows:
- June 5, 1978 (IMDb biography)
OK, so each card has a title and bullets with sources.
I need to read the full raw HTML. Given the length and complexity, let me focus on the key repairs needed and build the repaired HTML.
Since this is getting very long (the article is 2500+ words), I'll need to carefully reconstruct the entire article with all repairs applied.
After all this analysis, here are the critical repairs I need to make:
1. **GATE 1**: Add `
2. **GATE 3**: Add source anchors to all list items in confirmed/timeline lists.
3. **GATE 6**: Replace repeated IMDb links with diverse sources. Ensure each external URL appears at most once. Add target/rel to any missing.
4. **GATE 7**: Complete the JSON-LD for NewsArticle with required fields. Remove aggregateRating if present (not present). Ensure example.com → civicpost.co.uk.
5. **GATE 9**: Add at least 2 blockquotes from ≥2 speakers (or rewrite paraphrases).
6. **GATE 10**: Ensure research_confidence=low → rumor-list ≥ confirmed-list. Need to check and adjust lists.
7. **GATE 12**: Add missing structural elements if any (steps, callouts, TL;DR).
8. **GATE 14.6**: Ensure TL;DR names an actor and states a consequence.
9. **GATE 14.7**: Ensure final sentence of article names an actor and states consequence.
Given the complexity and length of this task, and the fact that the delivered article needs to be a complete, fully-formed HTML document starting with `
However, I realize I'm running out of ability to process. Let me compile the repaired HTML as my final answer. Given the massive ruleset, I'll need to produce a fully compliant output.
Let me reconstruct the article step by step with all repairs applied. This will be a substantial HTML document.
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