Triple
T19085054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Napier |
E467125
|
entity |
| Predicate | StanleyCupWinWithMontrealCanadiens |
P14536
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Mark Napier, StanleyCupWinWithMontrealCanadiens, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StanleyCupWinWithMontrealCanadiens Context triple: [Mark Napier, StanleyCupWinWithMontrealCanadiens, 1979]
-
A.
hasWonStanleyCup
Indicates that the subject (typically a team or player) has won at least one National Hockey League Stanley Cup championship.
-
B.
numberOfStanleyCupsAsHeadCoachWithMontrealCanadiens
Indicates the number of Stanley Cup championships an individual has won specifically as the head coach of the Montreal Canadiens.
-
C.
StanleyCupWonWith
chosen
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
-
D.
winnerWonStanleyCup
Indicates that the winner achieved victory in the Stanley Cup championship.
-
E.
teamAchievedFourConsecutiveStanleyCupsWith
Indicates that a team, together with a specified coach, roster, or organization, achieved four Stanley Cup championships in consecutive seasons.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e346f57c8190a6299e09a0be9e05 |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.