Triple
T25964585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Party presidential primaries, 2000 |
E645630
|
entity |
| Predicate | mainOpponentInPrimaries |
P26912
|
FINISHED |
| Object | Bill Bradley |
—
|
NE NERFINISHED |
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: Bill Bradley | Statement: [Democratic Party presidential primaries, 2000, mainOpponentInPrimaries, Bill Bradley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpponentInPrimaries Context triple: [Democratic Party presidential primaries, 2000, mainOpponentInPrimaries, Bill Bradley]
-
A.
primaryOpposingLeader
Indicates that one entity serves as the main or chief leader directly opposing another entity in a conflict, competition, or political context.
-
B.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
C.
electionOpponent
chosen
Indicates that two individuals are rivals competing against each other in the same election.
-
D.
mainOppositionBeforeElection
Indicates that one political entity serves as the primary opposing force to another in the period leading up to an election.
-
E.
includePrimaryElections
Indicates whether primary election events or data are to be included as part of the specified electoral context or dataset.
- F. None of above.
Provenance (3 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604c8ef408190bfd4571fb262372b |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:48 a.m.