Matthew O. Jackson
E403646
Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Matthew O. Jackson canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3995235 — 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: Matthew O. Jackson Context triple: [Erwin Plein Nemmers Prize in Economics, notableRecipient, Matthew O. Jackson]
-
A.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
B.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
C.
Jon Kleinberg
Jon Kleinberg is a prominent computer scientist known for his influential work in algorithms, networks, and data science, particularly in the analysis of large-scale social and information networks.
-
D.
Don Towsley
Don Towsley is a prominent computer scientist known for his influential contributions to computer networking and performance evaluation.
-
E.
J Strother Moore
J Strother Moore is an American computer scientist best known for his pioneering work in automated theorem proving and formal methods, including co-developing the Boyer–Moore theorem prover and the ACL2 system.
- 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: Matthew O. Jackson Target entity description: Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
-
A.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
B.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
C.
Jon Kleinberg
Jon Kleinberg is a prominent computer scientist known for his influential work in algorithms, networks, and data science, particularly in the analysis of large-scale social and information networks.
-
D.
Don Towsley
Don Towsley is a prominent computer scientist known for his influential contributions to computer networking and performance evaluation.
-
E.
J Strother Moore
J Strother Moore is an American computer scientist best known for his pioneering work in automated theorem proving and formal methods, including co-developing the Boyer–Moore theorem prover and the ACL2 system.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
American economist
ⓘ
economist ⓘ person ⓘ |
| affiliation | Stanford Institute for Theoretical Economics (SITE) ⓘ |
| almaMater |
Stanford University
ⓘ
Yale University ⓘ |
| awardReceived |
Frontiers of Knowledge Award in Economics, Finance and Management
ⓘ
surface form:
BBVA Foundation Frontiers of Knowledge Award in Economics, Finance and Management
John von Neumann Theory Prize ⓘ |
| employer | Stanford University ⓘ |
| field |
economics
ⓘ
game theory ⓘ network theory ⓘ |
| hasAcademicAdvisor | Robert B. Wilson ⓘ |
| hasConceptAssociated |
centrality and diffusion in networks
ⓘ
inequality and segregation in networks ⓘ network formation games ⓘ social and economic networks ⓘ |
| hasRole | William D. Eberle Professor of Economics ⓘ |
| hasWritten | research articles in leading economics journals ⓘ |
| honor |
Fellow of the American Academy of Arts and Sciences
ⓘ
Fellow of the Econometric Society ⓘ Fellow of the Game Theory Society ⓘ |
| influencedField |
game theory of network formation
ⓘ
network economics ⓘ social network analysis in economics ⓘ |
| knownFor |
applications of network theory to game theory
ⓘ
pioneering work on network theory in economics ⓘ |
| language | English ⓘ |
| memberOf | Econometric Society ⓘ |
| name | Matthew O. Jackson self-link ⓘ |
| nationality |
United States of America
ⓘ
surface form:
United States
|
| notableWork |
Papers on network formation in games and economics
ⓘ
Social and Economic Networks ⓘ The Human Network ⓘ |
| occupation | professor of economics ⓘ |
| researchInterest |
bargaining
ⓘ
economic networks ⓘ inequality and networks ⓘ learning in games ⓘ mechanism design ⓘ social networks ⓘ |
| supervises | PhD students in economics at Stanford University ⓘ |
| teachesAt | Stanford University ⓘ |
| workInstitution |
Stanford University Department of Economics
ⓘ
surface form:
Department of Economics, Stanford University
|
| writesInLanguage | English ⓘ |
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: Matthew O. Jackson Description of subject: Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.