Triple
T34910971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Connecticut gubernatorial election |
E1006863
|
entity |
| Predicate | mainOpponentGovernorCandidate |
P9213
|
FINISHED |
| Object | Tom Foley |
—
|
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: Tom Foley | Statement: [2014 Connecticut gubernatorial election, mainOpponentGovernorCandidate, Tom Foley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpponentGovernorCandidate Context triple: [2014 Connecticut gubernatorial election, mainOpponentGovernorCandidate, Tom Foley]
-
A.
opponentCandidate
chosen
Indicates that one entity is a rival or competing candidate against another in the same contest or election.
-
B.
electionOpponent
Indicates that two individuals are rivals competing against each other in the same election.
-
C.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
D.
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.
-
E.
opposedPartyNomineeOf
Indicates that one entity is the official nominee of a party that is in opposition to another specified party or candidate.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.