Roy M. Anderson
E134119
Roy M. Anderson is a British epidemiologist and professor known for his influential work on the mathematical modeling of infectious diseases and public health policy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Roy M. Anderson canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T1119845 — 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: Roy M. Anderson Context triple: [Robert May, coAuthor, Roy M. Anderson]
-
A.
Donald W. Loveland
Donald W. Loveland is a logician and computer scientist known for his influential contributions to automated theorem proving and logic in computer science.
-
B.
David M. Satterfield
David M. Satterfield is an American diplomat and former U.S. ambassador who has held several senior foreign policy roles, including directing Rice University's Baker Institute for Public Policy.
-
C.
Kenneth Hayes Miller
Kenneth Hayes Miller was an influential American painter and teacher associated with the Ashcan School, known for his urban genre scenes and for mentoring many prominent 20th-century artists.
-
D.
Stephen Hubbell
Stephen Hubbell is an American ecologist best known for developing the Unified Neutral Theory of Biodiversity and Biogeography, which offers a novel explanation for species diversity patterns in ecological communities.
-
E.
Karl C. Mamola
Karl C. Mamola is a distinguished physics educator recognized for his significant contributions to physics teaching and learning.
- 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: Roy M. Anderson Target entity description: Roy M. Anderson is a British epidemiologist and professor known for his influential work on the mathematical modeling of infectious diseases and public health policy.
-
A.
Donald W. Loveland
Donald W. Loveland is a logician and computer scientist known for his influential contributions to automated theorem proving and logic in computer science.
-
B.
David M. Satterfield
David M. Satterfield is an American diplomat and former U.S. ambassador who has held several senior foreign policy roles, including directing Rice University's Baker Institute for Public Policy.
-
C.
Kenneth Hayes Miller
Kenneth Hayes Miller was an influential American painter and teacher associated with the Ashcan School, known for his urban genre scenes and for mentoring many prominent 20th-century artists.
-
D.
Stephen Hubbell
Stephen Hubbell is an American ecologist best known for developing the Unified Neutral Theory of Biodiversity and Biogeography, which offers a novel explanation for species diversity patterns in ecological communities.
-
E.
Karl C. Mamola
Karl C. Mamola is a distinguished physics educator recognized for his significant contributions to physics teaching and learning.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
epidemiologist ⓘ human ⓘ mathematical biologist ⓘ university professor ⓘ |
| advisorTo |
UK government on public health policy
ⓘ
international health organizations ⓘ |
| areaOfInfluence |
global health policy
ⓘ
infectious disease control programs ⓘ |
| authorOf | Infectious Diseases of Humans: Dynamics and Control ⓘ |
| awardReceived |
Commander of the Order of the British Empire
ⓘ
Fellow of the Royal Society (FRS) ⓘ
surface form:
Fellow of the Royal Society
|
| coAuthor | Robert May, Baron May of Oxford ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| educatedAt | Imperial College London ⓘ |
| employer | Imperial College London ⓘ |
| fieldOfWork |
epidemiology
ⓘ
infectious disease epidemiology ⓘ mathematical modeling ⓘ parasitology ⓘ population biology ⓘ public health ⓘ |
| gender | male ⓘ |
| givenName | Roy ⓘ |
| hasAcademicAdvisor | Robert May, Baron May of Oxford ⓘ |
| knownFor |
mathematical modeling of infectious diseases
ⓘ
public health policy advice ⓘ work on BSE and vCJD epidemiology ⓘ work on HIV/AIDS epidemiology ⓘ work on helminth infections ⓘ |
| languageSpoken | English ⓘ |
| memberOf | Royal Society ⓘ |
| name | Roy M. Anderson self-link ⓘ |
| nationality | British ⓘ |
| notableWork | Infectious Diseases of Humans: Dynamics and Control ⓘ |
| occupation |
epidemiologist
ⓘ
researcher ⓘ university professor ⓘ |
| positionHeld |
Director of the Wellcome Trust Centre for the Epidemiology of Infectious Disease
ⓘ
Professor of Infectious Disease Epidemiology at Imperial College London ⓘ Rector of Imperial College London ⓘ |
| researchInterest |
control of parasitic infections
ⓘ
emerging infectious diseases ⓘ transmission dynamics of infectious diseases ⓘ vaccination strategies ⓘ |
| 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: Roy M. Anderson Description of subject: Roy M. Anderson is a British epidemiologist and professor known for his influential work on the mathematical modeling of infectious diseases and public health policy.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.