APSA William Anderson Award
E631977
The APSA William Anderson Award is a prize given by the American Political Science Association for the best doctoral dissertation in the field of federalism and intergovernmental relations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| APSA William Anderson Award canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6714315 — 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: APSA William Anderson Award Context triple: [APSA awards, includeAward, APSA William Anderson Award]
-
A.
APSA Leonard D. White Award
The APSA Leonard D. White Award is a prize given by the American Political Science Association for the best doctoral dissertation in the field of public administration.
-
B.
APSA Merze Tate Award
The APSA Merze Tate Award is an American Political Science Association honor recognizing outstanding scholarship in international relations, particularly work that advances understanding of global politics and foreign policy.
-
C.
APSA Heinz Eulau Award
The APSA Heinz Eulau Award is a political science prize given by the American Political Science Association for outstanding scholarly work, particularly in the field of representation and electoral behavior.
-
D.
APSA Gladys M. Kammerer Award
The APSA Gladys M. Kammerer Award is an American Political Science Association prize recognizing the best political science publication in the field of U.S. national policy.
-
E.
APSA Frank J. Goodnow Award
The APSA Frank J. Goodnow Award is a distinguished honor presented by the American Political Science Association to recognize exceptional service to the profession and the association.
- 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: APSA William Anderson Award Target entity description: The APSA William Anderson Award is a prize given by the American Political Science Association for the best doctoral dissertation in the field of federalism and intergovernmental relations.
-
A.
APSA Leonard D. White Award
The APSA Leonard D. White Award is a prize given by the American Political Science Association for the best doctoral dissertation in the field of public administration.
-
B.
APSA Merze Tate Award
The APSA Merze Tate Award is an American Political Science Association honor recognizing outstanding scholarship in international relations, particularly work that advances understanding of global politics and foreign policy.
-
C.
APSA Heinz Eulau Award
The APSA Heinz Eulau Award is a political science prize given by the American Political Science Association for outstanding scholarly work, particularly in the field of representation and electoral behavior.
-
D.
APSA Gladys M. Kammerer Award
The APSA Gladys M. Kammerer Award is an American Political Science Association prize recognizing the best political science publication in the field of U.S. national policy.
-
E.
APSA Frank J. Goodnow Award
The APSA Frank J. Goodnow Award is a distinguished honor presented by the American Political Science Association to recognize exceptional service to the profession and the association.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
academic award
ⓘ
award in political science ⓘ |
| academicLevel | doctoral ⓘ |
| associatedWith | APSA Organized Section on Federalism and Intergovernmental Relations NERFINISHED ⓘ |
| awardCategory | doctoral dissertation ⓘ |
| awardDomain | social sciences ⓘ |
| awardedFor | best doctoral dissertation in the field of federalism and intergovernmental relations ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| discipline | political science ⓘ |
| eligibility |
authors of doctoral dissertations
ⓘ
doctoral dissertations in federalism and intergovernmental relations ⓘ |
| field |
federalism
ⓘ
intergovernmental relations ⓘ political science ⓘ |
| hasAwardingBodyAbbreviation | APSA NERFINISHED ⓘ |
| hasFocus |
federal systems of government
ⓘ
relations among levels of government ⓘ |
| isRelatedTo |
federal systems research
ⓘ
intergovernmental policy research ⓘ |
| languageOfAwardingBody | English ⓘ |
| namedAfter | William Anderson NERFINISHED ⓘ |
| namedAfterOccupation | political scientist ⓘ |
| organizationTypeOfPresenter | professional association ⓘ |
| partOf | American Political Science Association awards ⓘ |
| presentedBy | American Political Science Association NERFINISHED ⓘ |
| sponsor | American Political Science Association 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: APSA William Anderson Award Description of subject: The APSA William Anderson Award is a prize given by the American Political Science Association for the best doctoral dissertation in the field of federalism and intergovernmental relations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.