Triple
T25894790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter H. Dominick |
E652438
|
entity |
| Predicate | electionDefeatBy |
P354
|
FINISHED |
| Object | Gary Hart |
—
|
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: Gary Hart | Statement: [Peter H. Dominick, electionDefeatBy, Gary Hart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionDefeatBy Context triple: [Peter H. Dominick, electionDefeatBy, Gary Hart]
-
A.
defeatedCandidate
chosen
Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
-
B.
leadingCandidateOfDefeatedParty
Indicates that an individual is the primary or most prominent candidate of a political party that has lost an election or contest.
-
C.
defeatedPresidentialPartyOrCoalition
Indicates that one political party or coalition successfully defeated another party or coalition in a presidential election.
-
D.
defeatedPresidentialCandidate
Indicates that one entity won an election against and thereby caused the loss of another entity who was running for president.
-
E.
defeatedIncumbentParty
Indicates that a political party won an election by defeating the party that previously held power or office.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 22, 2026, 8:22 a.m.