Tom Henighan
E461713
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tom Henighan canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4651167 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Henighan Context triple: [Tom B. Brown, hasCoAuthor, Tom Henighan]
-
A.
Jack McHale
Jack McHale is a relatively obscure individual known primarily as a namesake referenced in records of notable bearers of the surname McHale.
-
B.
Tom Hickey
Tom Hickey was an Irish actor known for his extensive work in theatre, film, and television, particularly in Ireland.
-
C.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
D.
Max O’Hara
Max O’Hara is a fast-talking, ambitious showman and nightclub promoter who brings the giant gorilla Joe to Hollywood in the 1949 adventure film "Mighty Joe Young."
-
E.
Lloyd Nolan
Lloyd Nolan was an American film and television actor known for his versatile character roles in dramas, crime films, and later in popular TV series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Henighan Target entity description: Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
-
A.
Jack McHale
Jack McHale is a relatively obscure individual known primarily as a namesake referenced in records of notable bearers of the surname McHale.
-
B.
Tom Hickey
Tom Hickey was an Irish actor known for his extensive work in theatre, film, and television, particularly in Ireland.
-
C.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
D.
Max O’Hara
Max O’Hara is a fast-talking, ambitious showman and nightclub promoter who brings the giant gorilla Joe to Hollywood in the 1949 adventure film "Mighty Joe Young."
-
E.
Lloyd Nolan
Lloyd Nolan was an American film and television actor known for his versatile character roles in dramas, crime films, and later in popular TV series.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ researcher ⓘ |
| affiliation | OpenAI NERFINISHED ⓘ |
| coAuthorOf |
GPT-3 related research publications
ⓘ
Scaling Laws for Neural Language Models NERFINISHED ⓘ Training Compute-Optimal Large Language Models NERFINISHED ⓘ |
| coAuthorWith |
Dario Amodei
NERFINISHED
ⓘ
Jared Kaplan NERFINISHED ⓘ OpenAI research team members ⓘ Sam McCandlish NERFINISHED ⓘ |
| contributedTo | development of large-scale language models at OpenAI ⓘ |
| employer | OpenAI NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ natural language processing ⓘ |
| knownFor |
contributions to OpenAI research publications
ⓘ
research on scaling laws for language models ⓘ work on large-scale language models ⓘ |
| notableWork |
analysis of model performance versus scale
ⓘ
research on compute-optimal training of language models ⓘ |
| occupation |
AI researcher
ⓘ
machine learning scientist ⓘ |
| researchArea |
compute-optimal model design
ⓘ
large language model training efficiency ⓘ scaling behavior of neural networks ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Tom Henighan Description of subject: Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Tom B. Brown
subject surface form:
Language Models are Few-Shot Learners