Triple
T35728274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the American Political Science Association |
E1032674
|
entity |
| Predicate | typicalOfficeHolderFieldOfWork |
P206027
|
FINISHED |
| Object | political science |
—
|
LITERAL FINISHED |
How this triple was built (2 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: political science | Statement: [President of the American Political Science Association, typicalOfficeHolderFieldOfWork, political science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficeHolderFieldOfWork Context triple: [President of the American Political Science Association, typicalOfficeHolderFieldOfWork, political science]
-
A.
officeHolderFunction
Indicates that an entity holds or performs a specific official role, duty, or function within an office or position.
-
B.
officeHolderOccupation
Indicates that the occupation describes the role or job held by an office holder.
-
C.
natureOfOffice
Indicates the type or character of an office or position, specifying what kind of role or function it represents.
-
D.
describesOfficeHolder
Indicates that one entity is the office or position, and the other entity is the person who holds or occupies that office.
-
E.
alsoHoldsOfficeOf
Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
- F. None of above. chosen
Provenance (4 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:05 p.m.