Jared Kaplan
E497594
Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jared Kaplan canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4651158 — 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: Jared Kaplan Context triple: [Tom B. Brown, hasCoAuthor, Jared Kaplan]
-
A.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
-
B.
Rory Kaplan
Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
-
C.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
D.
Jason Kliot
Jason Kliot is an American film producer known for his work on independent and documentary films, including the acclaimed Enron exposé "Enron: The Smartest Guys in the Room."
-
E.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
- 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: Jared Kaplan Target entity description: Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
-
A.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
-
B.
Rory Kaplan
Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
-
C.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
D.
Jason Kliot
Jason Kliot is an American film producer known for his work on independent and documentary films, including the acclaimed Enron exposé "Enron: The Smartest Guys in the Room."
-
E.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
human ⓘ theoretical physicist ⓘ |
| citizenship | United States of America ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ large language models ⓘ machine learning ⓘ theoretical physics ⓘ |
| hasAcademicBackgroundIn |
high energy physics
ⓘ
quantum field theory ⓘ theoretical physics ⓘ |
| influencedField |
AI scaling strategies
ⓘ
large language model design ⓘ |
| knownFor |
contributions to large language model development
ⓘ
deep learning scaling laws NERFINISHED ⓘ scaling laws for neural language models ⓘ |
| notableWork |
research on deep learning scaling laws
ⓘ
research on scaling laws for language models ⓘ |
| occupation |
AI researcher
ⓘ
physicist ⓘ research scientist ⓘ |
| researchInterest |
AI capabilities scaling
ⓘ
empirical laws of neural network performance ⓘ large-scale language models ⓘ scaling behavior of deep 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: Jared Kaplan Description of subject: Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
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