Tim Green
E736797
Tim Green is a researcher who co-authored the landmark 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tim Green canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482637 — 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: Tim Green Context triple: [Jumper et al., Nature 2021, hasAuthor, Tim Green]
-
A.
Tim Green
Tim Green is an American musician and producer best known as a guitarist in the instrumental rock band The Fucking Champs and for his work in the underground rock scene.
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B.
Timothy Green
Timothy Green is the magical, plant-like boy who mysteriously appears to a childless couple and transforms their lives in the fantasy film "The Odd Life of Timothy Green."
-
C.
Logan Green
Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
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D.
Jason Wingreen
Jason Wingreen was an American character actor best known for his television roles, including the bartender Harry Snowden on All in the Family and its spin-off Archie Bunker's Place, and for providing the original voice of Boba Fett in The Empire Strikes Back.
-
E.
Luke Greenfield
Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
- 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: Tim Green Target entity description: Tim Green is a researcher who co-authored the landmark 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
-
A.
Tim Green
Tim Green is an American musician and producer best known as a guitarist in the instrumental rock band The Fucking Champs and for his work in the underground rock scene.
-
B.
Timothy Green
Timothy Green is the magical, plant-like boy who mysteriously appears to a childless couple and transforms their lives in the fantasy film "The Odd Life of Timothy Green."
-
C.
Logan Green
Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
-
D.
Jason Wingreen
Jason Wingreen was an American character actor best known for his television roles, including the bartender Harry Snowden on All in the Family and its spin-off Archie Bunker's Place, and for providing the original voice of Boba Fett in The Empire Strikes Back.
-
E.
Luke Greenfield
Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
researcher ⓘ |
| authorOf | 2021 Nature paper on AlphaFold ⓘ |
| coAuthorOf | 2021 Nature paper on AlphaFold ⓘ |
| contributedTo | deep learning system for protein structure prediction ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational biology ⓘ machine learning ⓘ |
| knownFor |
contributions to AlphaFold
ⓘ
protein structure prediction research ⓘ |
| notableWork | AlphaFold ⓘ |
| publicationYearOfNotableWork | 2021 ⓘ |
| researchArea |
deep learning for biology
ⓘ
protein structure prediction ⓘ |
| workPublishedIn | Nature ⓘ |
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: Tim Green Description of subject: Tim Green is a researcher who co-authored the landmark 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.