Michael Stoker
E904417
Michael Stoker is a British virologist and academic known for his pioneering research on viruses and cancer and for serving as director of the Imperial Cancer Research Fund.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Stoker canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T11094570 — 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: Michael Stoker Context triple: [Stoker, notableBearer, Michael Stoker]
-
A.
Ben Rickert
Ben Rickert is a retired, risk-averse trader in the film "The Big Short" who reluctantly helps a small investment team profit from the impending collapse of the U.S. housing market.
-
B.
Tyler Johnston
Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
-
C.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
-
D.
Scott Davidson
Scott Davidson was a New York City firefighter who died in the September 11, 2001 attacks and is known as the late father of comedian Pete Davidson.
-
E.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
- 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: Michael Stoker Target entity description: Michael Stoker is a British virologist and academic known for his pioneering research on viruses and cancer and for serving as director of the Imperial Cancer Research Fund.
-
A.
Ben Rickert
Ben Rickert is a retired, risk-averse trader in the film "The Big Short" who reluctantly helps a small investment team profit from the impending collapse of the U.S. housing market.
-
B.
Tyler Johnston
Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
-
C.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
-
D.
Scott Davidson
Scott Davidson was a New York City firefighter who died in the September 11, 2001 attacks and is known as the late father of comedian Pete Davidson.
-
E.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
cancer researcher ⓘ human ⓘ virologist ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| employer | Imperial Cancer Research Fund NERFINISHED ⓘ |
| fieldOfWork |
cancer research
ⓘ
oncology ⓘ tumour virology ⓘ virology ⓘ |
| knownFor |
pioneering work in tumour virology
ⓘ
research on viruses and cancer ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableContribution |
helped establish links between viruses and cancer
ⓘ
leadership in British cancer research ⓘ |
| notableRole | leading figure in British virology ⓘ |
| occupation |
university teacher
ⓘ
virologist ⓘ |
| positionHeld | director of the Imperial Cancer Research Fund ⓘ |
| 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: Michael Stoker Description of subject: Michael Stoker is a British virologist and academic known for his pioneering research on viruses and cancer and for serving as director of the Imperial Cancer Research Fund.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.