Alex Bridgland
E740470
Alex Bridgland is a scientific researcher known for co-authoring 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 |
|---|---|
| Alex Bridgland canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482644 — 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: Alex Bridgland Context triple: [Jumper et al., Nature 2021, hasAuthor, Alex Bridgland]
-
A.
Charles Siddall
Charles Siddall was a family member of the Pre-Raphaelite-associated artist and poet Elizabeth Siddal, belonging to the same Victorian-era Siddall/Siddall family circle.
-
B.
Roger Ashton-Griffiths
Roger Ashton-Griffiths is a British character actor and director known for his roles in film and television, including appearances in period dramas and fantasy productions.
-
C.
Michael Hamlyn
Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
-
D.
Laming Worthington-Evans
Laming Worthington-Evans was a British Conservative politician and government minister in the early 20th century, notably involved in high-level imperial and defense affairs.
-
E.
David Brierley
David Brierley was a British actor best known for providing the voice of the robot dog K-9 in the classic science fiction television series Doctor Who.
- 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: Alex Bridgland Target entity description: Alex Bridgland is a scientific researcher known for co-authoring a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
-
A.
Charles Siddall
Charles Siddall was a family member of the Pre-Raphaelite-associated artist and poet Elizabeth Siddal, belonging to the same Victorian-era Siddall/Siddall family circle.
-
B.
Roger Ashton-Griffiths
Roger Ashton-Griffiths is a British character actor and director known for his roles in film and television, including appearances in period dramas and fantasy productions.
-
C.
Michael Hamlyn
Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
-
D.
Laming Worthington-Evans
Laming Worthington-Evans was a British Conservative politician and government minister in the early 20th century, notably involved in high-level imperial and defense affairs.
-
E.
David Brierley
David Brierley was a British actor best known for providing the voice of the robot dog K-9 in the classic science fiction television series Doctor Who.
- F. None of above. chosen
Statements (11)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
scientific researcher ⓘ |
| authorOf | 2021 Nature paper on protein structure prediction by Jumper et al. ⓘ |
| coAuthorWith | John Jumper NERFINISHED ⓘ |
| contributedTo |
advances in computational biology
ⓘ
advances in protein structure prediction ⓘ |
| fieldOfWork |
computational biology
ⓘ
protein structure prediction ⓘ |
| notableWork | co-author of 2021 Nature paper by Jumper et al. ⓘ |
| publicationYear | 2021 ⓘ |
| 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: Alex Bridgland Description of subject: Alex Bridgland is a scientific researcher known for co-authoring 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.