Triple
T34910267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Tocchet |
E1006843
|
entity |
| Predicate | StanleyCupWinnerAsCoachWith |
P94359
|
FINISHED |
| Object | Pittsburgh Penguins |
—
|
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: Pittsburgh Penguins | Statement: [Rick Tocchet, StanleyCupWinnerAsCoachWith, Pittsburgh Penguins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StanleyCupWinnerAsCoachWith Context triple: [Rick Tocchet, StanleyCupWinnerAsCoachWith, Pittsburgh Penguins]
-
A.
headCoachOfStanleyCupWinner
Indicates that a person served as the head coach of the team that won the Stanley Cup in a given season.
-
B.
teamCoachedToStanleyCup
chosen
Indicates that a coach led a specific team to winning the Stanley Cup championship.
-
C.
CalderCupWonAsCoach
Indicates that the subject served as a coach for a team that won the Calder Cup.
-
D.
coachedStanleyCupFinalist
Indicates that a person served as the coach of a team that reached the Stanley Cup Final.
-
E.
numberOfStanleyCupsAsCoachOrExecutive
Indicates the total count of Stanley Cup championships an individual has won specifically in the roles of coach or executive.
- 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.