Triple
T5207484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotty Bowman |
E117546
|
entity |
| Predicate | StanleyCupsWonAsHeadCoach |
P21712
|
FINISHED |
| Object | 9 |
—
|
LITERAL FINISHED |
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: 9 | Statement: [Scotty Bowman, StanleyCupsWonAsHeadCoach, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StanleyCupsWonAsHeadCoach Context triple: [Scotty Bowman, StanleyCupsWonAsHeadCoach, 9]
-
A.
totalStanleyCupsAsHeadCoach
chosen
Indicates the total number of Stanley Cup championships an individual has won in the role of head coach.
-
B.
headCoachOfStanleyCupWinner
Indicates that a person served as the head coach of the team that won the Stanley Cup in a given season.
-
C.
numberOfStanleyCupsAsHeadCoachWithMontrealCanadiens
Indicates the number of Stanley Cup championships an individual has won specifically as the head coach of the Montreal Canadiens.
-
D.
numberOfNBAChampionshipsAsHeadCoach
Indicates the count of NBA championship titles an individual has won while serving as a head coach.
-
E.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.