Triple
T24346438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Stanley Cup playoffs |
E613653
|
entity |
| Predicate | finalsWinningCoach |
P10030
|
FINISHED |
| Object | Mike Keenan |
—
|
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: Mike Keenan | Statement: [1994 Stanley Cup playoffs, finalsWinningCoach, Mike Keenan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalsWinningCoach Context triple: [1994 Stanley Cup playoffs, finalsWinningCoach, Mike Keenan]
-
A.
hasWinningCoach
Indicates that an entity (such as a team or athlete) is associated with the coach who led them to a victory or championship.
-
B.
NCAAChampionCoach
Indicates that a coach has led a team to win an NCAA championship title.
-
C.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
D.
headCoachWinningTeam
chosen
Indicates that the subject is the head coach of the team that won a particular game, match, or competition.
-
E.
winningCoachSchool
Indicates that a particular school is the one whose team was coached by the winning coach in a given competition or event.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932978b88190afc441a3d4805e5f |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.