Triple
T35728274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the American Political Science Association |
E1032674
|
entity |
| Predicate | typicalOfficeHolderFieldOfWork |
—
|
GENERATED |
| Object | political science |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
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 (1 batch)
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. |
Created at: May 3, 2026, 4:05 p.m.