Gilean McVean
E683214
Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gilean McVean canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7663579 — 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: Gilean McVean Context triple: [Francis Crick Medal and Lecture, notableRecipient, Gilean McVean]
-
A.
Ewen MacIntosh
Ewen MacIntosh is a British actor and comedian best known for playing the deadpan accountant Keith Bishop in the original UK version of "The Office."
-
B.
Angus McKie
Angus McKie is a British illustrator and colorist known for his detailed science fiction artwork and influential contributions to comic book coloring.
-
C.
Iain McCrory
Iain McCrory is the father of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
-
D.
Iain Fullarton
Iain Fullarton is a former Scottish international rugby union player who primarily played as a lock.
-
E.
Ian McDougall
Ian McDougall is an Australian architect best known as a founding director of the influential firm Ashton Raggatt McDougall (ARM), recognized for its bold and unconventional public architecture.
- 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: Gilean McVean Target entity description: Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
-
A.
Ewen MacIntosh
Ewen MacIntosh is a British actor and comedian best known for playing the deadpan accountant Keith Bishop in the original UK version of "The Office."
-
B.
Angus McKie
Angus McKie is a British illustrator and colorist known for his detailed science fiction artwork and influential contributions to comic book coloring.
-
C.
Iain McCrory
Iain McCrory is the father of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
-
D.
Iain Fullarton
Iain Fullarton is a former Scottish international rugby union player who primarily played as a lock.
-
E.
Ian McDougall
Ian McDougall is an Australian architect best known as a founding director of the influential firm Ashton Raggatt McDougall (ARM), recognized for its bold and unconventional public architecture.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
British scientist
ⓘ
human ⓘ population geneticist ⓘ statistical geneticist ⓘ university professor ⓘ |
| awardReceived | Fellow of the Royal Society NERFINISHED ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| educatedAt | University of Oxford ⓘ |
| employer | University of Oxford ⓘ |
| fieldOfWork |
bioinformatics
ⓘ
computational biology ⓘ genetic variation ⓘ human genomics ⓘ population genetics ⓘ statistical genetics ⓘ |
| knownFor |
contributions to human genomics
ⓘ
development of computational methods for analyzing genetic variation ⓘ work on human population history ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | Royal Society ⓘ |
| notableWork | methods for analyzing large-scale genetic variation data ⓘ |
| positionHeld |
Professor of Statistical Genetics
ⓘ
Professor of Statistical Genetics at the University of Oxford ⓘ |
| researchInterest |
evolutionary genetics
ⓘ
genome-wide variation ⓘ human population structure ⓘ statistical methods in genomics ⓘ |
| workLocation | Oxford 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: Gilean McVean Description of subject: Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.