Greg Yang
E18820
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Greg Yang canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T146425 — 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: Greg Yang Context triple: [xAI, hasTeamMember, Greg Yang]
-
A.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
B.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
-
C.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
D.
Dongjin Seo
Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
-
E.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
- 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: Greg Yang Target entity description: Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
A.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
B.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
-
C.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
D.
Dongjin Seo
Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
-
E.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
mathematician ⓘ |
| collaboratesWith | researchers at xAI ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| employer | xAI ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ mathematics ⓘ theoretical computer science ⓘ |
| hasGivenTalkAt |
Google Research
ⓘ
Harvard University ⓘ ICLR ⓘ MIT ⓘ
linked to:
Massachusetts Institute of Technology
Meta AI ⓘ Microsoft Research ⓘ
linked to:
Microsoft Research Cambridge
NVIDIA ⓘ
linked to:
NVIDIA Corporation
NeurIPS ⓘ OpenAI ⓘ Princeton University ⓘ Stanford University ⓘ xAI ⓘ |
| hasRole | theorist at xAI ⓘ |
| knownFor | theoretical foundations of deep learning ⓘ |
| notableConcept |
feature learning in the infinite-width limit
ⓘ
infinite-width neural networks ⓘ neural network scaling laws ⓘ tensor programs framework ⓘ |
| position | research scientist at xAI ⓘ |
| researchInterest |
generalization in deep learning
ⓘ
large language models ⓘ mathematical theory of deep learning ⓘ optimization in deep neural networks ⓘ scaling laws for large language models ⓘ transformer architectures ⓘ |
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: Greg Yang Description of subject: Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.