Triple
T6714332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APSA awards |
E153224
|
entity |
| Predicate | includeAward |
P13061
|
FINISHED |
| Object |
APSA Public Policy Section Awards
The APSA Public Policy Section Awards are honors presented by the American Political Science Association’s Public Policy Section to recognize outstanding scholarship and contributions in the field of public policy research.
|
E622514
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: APSA Public Policy Section Awards | Statement: [APSA awards, includeAward, APSA Public Policy Section Awards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APSA Public Policy Section Awards Context triple: [APSA awards, includeAward, APSA Public Policy Section Awards]
-
A.
APSA awards
APSA awards are honors presented by the American Political Science Association recognizing outstanding scholarly contributions and achievements across various subfields of political science.
-
B.
APSA Best Book Award
The APSA Best Book Award is a prestigious honor given by the American Political Science Association to recognize the most outstanding scholarly book in the field of political science.
-
C.
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.
-
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 Political Theory Section Awards
The APSA Political Theory Section Awards are honors presented by the American Political Science Association’s Political Theory section to recognize outstanding scholarship and contributions in the field of political theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: APSA Public Policy Section Awards Triple: [APSA awards, includeAward, APSA Public Policy Section Awards]
Generated description
The APSA Public Policy Section Awards are honors presented by the American Political Science Association’s Public Policy Section to recognize outstanding scholarship and contributions in the field of public policy research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: APSA Public Policy Section Awards Target entity description: The APSA Public Policy Section Awards are honors presented by the American Political Science Association’s Public Policy Section to recognize outstanding scholarship and contributions in the field of public policy research.
-
A.
APSA awards
APSA awards are honors presented by the American Political Science Association recognizing outstanding scholarly contributions and achievements across various subfields of political science.
-
B.
APSA Best Book Award
The APSA Best Book Award is a prestigious honor given by the American Political Science Association to recognize the most outstanding scholarly book in the field of political science.
-
C.
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.
-
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 Political Theory Section Awards
The APSA Political Theory Section Awards are honors presented by the American Political Science Association’s Political Theory section to recognize outstanding scholarship and contributions in the field of political theory.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7c94bac8190ae4b236d1b04bec9 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723bb93c881908fdb9f1924842314 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c7277ab488819097b5cda23dbe53fe |
completed | March 28, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c727d682ac8190a4c5e305194c683d |
completed | March 28, 2026, 12:59 a.m. |
Created at: March 27, 2026, 2:07 p.m.