Triple
T2085156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 United States presidential election |
E45331
|
entity |
| Predicate | primaryOpponentOfClinton |
P26912
|
FINISHED |
| Object | none significant |
—
|
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: none significant | Statement: [1996 United States presidential election, primaryOpponentOfClinton, none significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOpponentOfClinton Context triple: [1996 United States presidential election, primaryOpponentOfClinton, none significant]
-
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.
opponentRunningMate
Indicates that one person is the running mate (e.g., vice-presidential or deputy candidate) of another person’s political opponent in an election.
-
C.
electionOpponent
chosen
Indicates that two individuals are rivals competing against each other in the same election.
-
D.
opposedLeader
Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
-
E.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba53d4488190a7d9eabcb6904e8e |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.