Triple
T24906694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Canadian federal election |
E623727
|
entity |
| Predicate | fourthPlaceLeader |
P23393
|
FINISHED |
| Object | Audrey McLaughlin |
—
|
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: Audrey McLaughlin | Statement: [1993 Canadian federal election, fourthPlaceLeader, Audrey McLaughlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPlaceLeader Context triple: [1993 Canadian federal election, fourthPlaceLeader, Audrey McLaughlin]
-
A.
fourthPlace
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
B.
partyLeaderFourthPlaceParty
chosen
Indicates that the referenced person is the leader of the political party that finished in fourth place in a given election or ranking.
-
C.
fourthPlaceQualifiedFor
Indicates that the entity finishing in fourth place has earned qualification for a subsequent stage, event, or competition.
-
D.
fourthOfficeHolder
Indicates that an entity is the fourth individual to hold a particular office or position in a sequence of office holders.
-
E.
fourthTrack
Indicates that one entity is the fourth track in an ordered sequence of tracks associated with another entity.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4236bc540819096275eb784a08719 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:27 a.m.