Andrew Cowie
E739002
Andrew Cowie is a researcher and co-author of a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Andrew Cowie canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482648 — 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 Cowie Context triple: [Jumper et al., Nature 2021, hasAuthor, Andrew Cowie]
-
A.
Andrew Cockburn
Andrew Cockburn is a British-American journalist and author known for his investigative reporting and books on national security, military affairs, and U.S. foreign policy.
-
B.
Roy Wallis
Roy Wallis was a British sociologist best known for his influential studies of new religious movements and cults.
-
C.
Noel Barber
Noel Barber was a British journalist and novelist known for his adventurous reporting and bestselling historical romances, often drawing on his experiences during World War II.
-
D.
Matthew Parris
Matthew Parris is a British political commentator, columnist, and former Conservative MP known for his incisive and often witty analysis of UK politics.
-
E.
David Leigh
David Leigh is a British investigative journalist and author known for his work on political scandals and intelligence matters, including material that inspired the film "The Fifth Estate."
- 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 Cowie Target entity description: Andrew Cowie is a researcher and co-author of a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
-
A.
Andrew Cockburn
Andrew Cockburn is a British-American journalist and author known for his investigative reporting and books on national security, military affairs, and U.S. foreign policy.
-
B.
Roy Wallis
Roy Wallis was a British sociologist best known for his influential studies of new religious movements and cults.
-
C.
Noel Barber
Noel Barber was a British journalist and novelist known for his adventurous reporting and bestselling historical romances, often drawing on his experiences during World War II.
-
D.
Matthew Parris
Matthew Parris is a British political commentator, columnist, and former Conservative MP known for his incisive and often witty analysis of UK politics.
-
E.
David Leigh
David Leigh is a British investigative journalist and author known for his work on political scandals and intelligence matters, including material that inspired the film "The Fifth Estate."
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
researcher
ⓘ
scientist ⓘ |
| authorOf | 2021 Nature paper on highly accurate protein structure prediction with AlphaFold ⓘ |
| coAuthorWith |
Aidan J. Ballard
NERFINISHED
ⓘ
Alex Bridgland NERFINISHED ⓘ Alexander Pritzel NERFINISHED ⓘ Andrew W. Senior NERFINISHED ⓘ Anna Potapenko NERFINISHED ⓘ Augustin Žídek NERFINISHED ⓘ Charlie Meyer NERFINISHED ⓘ Demis Hassabis NERFINISHED ⓘ John Jumper NERFINISHED ⓘ Koray Kavukcuoglu NERFINISHED ⓘ Krzysztof Tunyasuvunakool NERFINISHED ⓘ Michael Figurnov NERFINISHED ⓘ Olaf Ronneberger NERFINISHED ⓘ Pushmeet Kohli NERFINISHED ⓘ Richard Evans NERFINISHED ⓘ Russ Bates NERFINISHED ⓘ Simon A. A. Kohl NERFINISHED ⓘ Tim Green NERFINISHED ⓘ |
| countryOfWork | United Kingdom ⓘ |
| employer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
computational biology
ⓘ
protein structure prediction ⓘ |
| notableFor | contributions to AlphaFold protein structure prediction system ⓘ |
| notableWork | co-author of 2021 Nature paper by Jumper et al. on protein structure prediction ⓘ |
| publicationYear | 2021 ⓘ |
| researchArea | machine learning applications in biology ⓘ |
| workPublishedIn | Nature NERFINISHED ⓘ |
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 Cowie Description of subject: Andrew Cowie is a researcher and co-author of a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.