Triple
T25601983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 NHL All-Star Game |
E641810
|
entity |
| Predicate | shootoutWinningGoalScorer |
P2220
|
FINISHED |
| Object | Dany Heatley |
—
|
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: Dany Heatley | Statement: [2003 NHL All-Star Game, shootoutWinningGoalScorer, Dany Heatley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shootoutWinningGoalScorer Context triple: [2003 NHL All-Star Game, shootoutWinningGoalScorer, Dany Heatley]
-
A.
mostValuablePlayerShootoutGoal
Indicates that the referenced player scored the decisive or most significant goal in a shootout, earning recognition as the most valuable player of that shootout.
-
B.
accuracyShootingWinner
Indicates that the subject is the winner in a shooting accuracy contest or comparison.
-
C.
seriesWinningGoalScorer
Indicates the player who scored the decisive goal that clinched victory in a multi-game series.
-
D.
titleWinningGoalScorer
Indicates the player who scored the decisive goal that secured a title or championship in a competition.
-
E.
scoredGameWinningGoal
chosen
Indicates that an entity scored the decisive goal that determined the final victory in a game.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a7d7d881909014fdf3746f981b |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 4:31 p.m.