Scott D. Sagan
E291365
Scott D. Sagan is an American political scientist and leading scholar of nuclear strategy, deterrence theory, and organizational aspects of nuclear weapons policy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Scott D. Sagan canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2694665 — 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: Scott D. Sagan Context triple: [Kenneth N. Waltz, coAuthor, Scott D. Sagan]
-
A.
Ken Ledeen
Ken Ledeen is a technology entrepreneur and author best known for co-writing influential works on digital technology and its societal impact.
-
B.
Michael B. Gerrard
Michael B. Gerrard is an American environmental lawyer and scholar known for his leadership in climate change law and policy.
-
C.
John Logsdon
John Logsdon is an American space policy historian and scholar known for his expertise on NASA, space exploration decision-making, and the history of the U.S. space program.
-
D.
Michael S. Barr
Michael S. Barr is an American legal scholar and policymaker who serves as a key U.S. financial regulator, overseeing banking supervision and financial stability at the Federal Reserve.
-
E.
Peter S. Seaman
Peter S. Seaman is an American screenwriter best known for co-writing major Hollywood films such as "Who Framed Roger Rabbit" and "Shrek the Third."
- 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: Scott D. Sagan Target entity description: Scott D. Sagan is an American political scientist and leading scholar of nuclear strategy, deterrence theory, and organizational aspects of nuclear weapons policy.
-
A.
Ken Ledeen
Ken Ledeen is a technology entrepreneur and author best known for co-writing influential works on digital technology and its societal impact.
-
B.
Michael B. Gerrard
Michael B. Gerrard is an American environmental lawyer and scholar known for his leadership in climate change law and policy.
-
C.
John Logsdon
John Logsdon is an American space policy historian and scholar known for his expertise on NASA, space exploration decision-making, and the history of the U.S. space program.
-
D.
Michael S. Barr
Michael S. Barr is an American legal scholar and policymaker who serves as a key U.S. financial regulator, overseeing banking supervision and financial stability at the Federal Reserve.
-
E.
Peter S. Seaman
Peter S. Seaman is an American screenwriter best known for co-writing major Hollywood films such as "Who Framed Roger Rabbit" and "Shrek the Third."
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
author ⓘ nuclear strategy scholar ⓘ political scientist ⓘ |
| academicDegree | PhD in political science ⓘ |
| awardReceived |
International Studies Association Distinguished Scholar Award in International Security
ⓘ
National Academy of Sciences William and Katherine Estes Award ⓘ |
| coAuthor |
Benjamin A. Valentino
ⓘ
Jane Vaynman ⓘ Kenneth N. Waltz ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt |
Harvard University
ⓘ
Oberlin College ⓘ |
| employer |
Center for International Security and Cooperation
ⓘ
Stanford University ⓘ |
| fieldOfWork |
deterrence theory
ⓘ
international security ⓘ nuclear proliferation ⓘ nuclear strategy ⓘ nuclear weapons policy ⓘ organizational theory ⓘ political science ⓘ |
| genre |
academic writing
ⓘ
international relations scholarship ⓘ |
| hasAcademicAdvisor | Samuel P. Huntington ⓘ |
| knownFor |
analysis of nuclear near-miss incidents
ⓘ
critiques of nuclear deterrence stability ⓘ debates on the spread of nuclear weapons ⓘ organizational theory approach to nuclear safety ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | American Academy of Arts and Sciences ⓘ |
| notableIdea |
application of organizational theory to nuclear weapons safety
ⓘ
emphasis on risks of accidental or unauthorized nuclear use ⓘ |
| notableWork |
Moving Targets: Nuclear Strategy and National Security
ⓘ
The Limits of Safety: Organizations, Accidents, and Nuclear Weapons ⓘ The Spread of Nuclear Weapons: A Debate Renewed ⓘ
linked to:
The Spread of Nuclear Weapons: A Debate
|
| occupation |
professor
ⓘ
researcher ⓘ |
| positionHeld |
Caroline S. G. Munro Professor of Political Science
ⓘ
Senior Fellow at the Center for International Security and Cooperation ⓘ Senior Fellow at the Freeman Spogli Institute for International Studies ⓘ |
| researchInterest |
civil–military relations
ⓘ
ethical issues in nuclear weapons policy ⓘ nuclear accidents ⓘ nuclear command and control ⓘ nuclear proliferation risks ⓘ |
| workLocation | Stanford, California ⓘ |
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: Scott D. Sagan Description of subject: Scott D. Sagan is an American political scientist and leading scholar of nuclear strategy, deterrence theory, and organizational aspects of nuclear weapons policy.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.