Richard Evans
E736796
Richard Evans is a researcher who contributed to the groundbreaking 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Richard Evans canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482635 — 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: Richard Evans Context triple: [Jumper et al., Nature 2021, hasAuthor, Richard Evans]
-
A.
Ian Kershaw
Ian Kershaw is a British historian renowned for his influential biographies of Adolf Hitler and his scholarship on Nazi Germany.
-
B.
Thomas Kershaw
Thomas Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
-
C.
David Irving
David Irving is a British author and Holocaust denier notorious for his pseudohistorical works on World War II and his legal battles over historical distortion.
-
D.
David Irving
David Irving is the son of American novelist Clifford Irving, who was known for his controversial literary hoaxes.
-
E.
Anthony Julius
Anthony Julius is a British solicitor and academic best known for representing Princess Diana in her divorce and for his writings on law, antisemitism, and literary criticism.
- 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: Richard Evans Target entity description: Richard Evans is a researcher who contributed to the groundbreaking 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
-
A.
Ian Kershaw
Ian Kershaw is a British historian renowned for his influential biographies of Adolf Hitler and his scholarship on Nazi Germany.
-
B.
Thomas Kershaw
Thomas Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
-
C.
David Irving
David Irving is a British author and Holocaust denier notorious for his pseudohistorical works on World War II and his legal battles over historical distortion.
-
D.
David Irving
David Irving is the son of American novelist Clifford Irving, who was known for his controversial literary hoaxes.
-
E.
Anthony Julius
Anthony Julius is a British solicitor and academic best known for representing Princess Diana in her divorce and for his writings on law, antisemitism, and literary criticism.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | DeepMind NERFINISHED ⓘ |
| authorOf | Highly accurate protein structure prediction with AlphaFold NERFINISHED ⓘ |
| citizenship | United Kingdom (likely) NERFINISHED ⓘ |
| coauthorWith |
AlphaFold research team
NERFINISHED
ⓘ
Demis Hassabis NERFINISHED ⓘ John Jumper NERFINISHED ⓘ |
| contributedTo | AlphaFold protein structure prediction system NERFINISHED ⓘ |
| employer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational biology ⓘ deep learning ⓘ machine learning ⓘ |
| hasORCID | 0000-0002-XXXX-XXXX (unspecified here) ⓘ |
| hasRole | research scientist at DeepMind ⓘ |
| knownFor | contributions to AlphaFold ⓘ |
| language | English ⓘ |
| notableWork | AlphaFold 2021 Nature paper NERFINISHED ⓘ |
| partOf | AlphaFold project at DeepMind NERFINISHED ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
| researchArea |
applications of deep learning to biology
ⓘ
protein structure prediction ⓘ |
| workLocation |
London, England
ⓘ
surface form:
London
|
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: Richard Evans Description of subject: Richard Evans is a researcher who contributed to the groundbreaking 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.