Andrew W. Senior
E736811
Andrew W. Senior is a computer scientist and researcher known for his contributions to deep learning and protein structure prediction, including work on DeepMind’s AlphaFold project.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Andrew W. Senior canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482664 — 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: Andrew W. Senior Context triple: [Jumper et al., Nature 2021, hasAuthor, Andrew W. Senior]
-
A.
Jeffrey S. Mearns
Jeffrey S. Mearns is an American academic leader and attorney who serves as the president of Ball State University in Indiana.
-
B.
Jeffrey S. Sutton
Jeffrey S. Sutton is a prominent American jurist who serves as a judge on the United States Court of Appeals for the Sixth Circuit and is known for his influential opinions on constitutional law and federalism.
-
C.
Peter A. Tyrrell
Peter A. Tyrrell was an American sports executive and promoter best known for his role in establishing and developing the early professional basketball franchise that became the Philadelphia Warriors.
-
D.
Douglas Slocombe
Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- 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: Andrew W. Senior Target entity description: Andrew W. Senior is a computer scientist and researcher known for his contributions to deep learning and protein structure prediction, including work on DeepMind’s AlphaFold project.
-
A.
Jeffrey S. Mearns
Jeffrey S. Mearns is an American academic leader and attorney who serves as the president of Ball State University in Indiana.
-
B.
Jeffrey S. Sutton
Jeffrey S. Sutton is a prominent American jurist who serves as a judge on the United States Court of Appeals for the Sixth Circuit and is known for his influential opinions on constitutional law and federalism.
-
C.
Peter A. Tyrrell
Peter A. Tyrrell was an American sports executive and promoter best known for his role in establishing and developing the early professional basketball franchise that became the Philadelphia Warriors.
-
D.
Douglas Slocombe
Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | Google DeepMind NERFINISHED ⓘ |
| educatedAt |
Cambridge University
ⓘ
surface form:
University of Cambridge
University of Edinburgh ⓘ |
| employer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer science ⓘ deep learning ⓘ machine learning ⓘ protein structure prediction ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| hasCitizenship | United Kingdom NERFINISHED ⓘ |
| hasRole |
machine learning engineer
ⓘ
research scientist ⓘ |
| knownFor |
contributions to deep learning
ⓘ
contributions to protein structure prediction ⓘ work on DeepMind’s AlphaFold project ⓘ |
| notableWork | AlphaFold NERFINISHED ⓘ |
| publicationTopic |
deep neural networks
ⓘ
protein folding ⓘ speech recognition ⓘ |
| worksOn |
applications of deep learning to biology
ⓘ
large-scale neural network models ⓘ |
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: Andrew W. Senior Description of subject: Andrew W. Senior is a computer scientist and researcher known for his contributions to deep learning and protein structure prediction, including work on DeepMind’s AlphaFold project.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.