Carl T. Bergstrom
E1038985
Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Carl T. Bergstrom canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13421580 — 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: Carl T. Bergstrom Context triple: [Eigenfactor Score, developedBy, Carl T. Bergstrom]
-
A.
George Bergstrom
George Bergstrom was an American architect best known for designing the Pentagon, the headquarters of the United States Department of Defense.
-
B.
Matthew O. Jackson
Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
-
C.
Bruce H. Mann
Bruce H. Mann is an American legal historian and Harvard Law School professor known for his scholarship on early American legal and economic history and for being married to U.S. Senator Elizabeth Warren.
-
D.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
E.
Michael Wibberly
Michael Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
- 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: Carl T. Bergstrom Target entity description: Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
-
A.
George Bergstrom
George Bergstrom was an American architect best known for designing the Pentagon, the headquarters of the United States Department of Defense.
-
B.
Matthew O. Jackson
Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
-
C.
Bruce H. Mann
Bruce H. Mann is an American legal historian and Harvard Law School professor known for his scholarship on early American legal and economic history and for being married to U.S. Senator Elizabeth Warren.
-
D.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
E.
Michael Wibberly
Michael Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
biologist ⓘ human ⓘ science communicator ⓘ university professor ⓘ |
| affiliation | Department of Biology, University of Washington NERFINISHED ⓘ |
| coAuthor | Jevin D. West NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| doctoralStudentOf | Marcus Feldman NERFINISHED ⓘ |
| educatedAt |
Stanford University
ⓘ
University of Washington ⓘ |
| employer | University of Washington NERFINISHED ⓘ |
| fieldOfWork |
epidemiology modeling
ⓘ
evolutionary biology ⓘ misinformation studies ⓘ network theory ⓘ science communication ⓘ scientometrics ⓘ theoretical biology ⓘ |
| genre | popular science writing ⓘ |
| hasAcademicAdvisor | Marcus Feldman NERFINISHED ⓘ |
| hasResearchInterest |
altmetrics
ⓘ
epidemiological modeling of infectious diseases ⓘ evolution of communication ⓘ game theory in biology ⓘ information flow in biological and social systems ⓘ journal impact metrics ⓘ science policy ⓘ scientific publishing systems ⓘ social media misinformation ⓘ |
| hasTaughtCourse | Calling Bullshit (on data reasoning in the digital world) NERFINISHED ⓘ |
| knownFor |
development of metrics for evaluating scholarly impact
ⓘ
public communication about COVID-19 epidemiology ⓘ research on misinformation ⓘ work on network theory ⓘ work on scientific communication ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | faculty of the College of Arts and Sciences at the University of Washington ⓘ |
| notableIdea |
application of network theory to scholarly communication
ⓘ
critical analysis of misuse of statistics and data ⓘ |
| notableWork | Calling Bullshit: The Art of Skepticism in a Data-Driven World NERFINISHED ⓘ |
| occupation |
author
ⓘ
biologist ⓘ university professor ⓘ |
| positionHeld | professor of biology at the University of Washington ⓘ |
| twitterUsername | CT_Bergstrom NERFINISHED ⓘ |
| workLocation | Seattle, Washington 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: Carl T. Bergstrom Description of subject: Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.