Triple
T18715206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Shutt |
E457618
|
entity |
| Predicate | teamNumberOfStanleyCups |
P3779
|
FINISHED |
| Object | multiple with Montreal Canadiens |
—
|
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: multiple with Montreal Canadiens | Statement: [Steve Shutt, teamNumberOfStanleyCups, multiple with Montreal Canadiens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberOfStanleyCups Context triple: [Steve Shutt, teamNumberOfStanleyCups, multiple with Montreal Canadiens]
-
A.
StanleyCupChampionships
chosen
Indicates the number of times an entity has won the Stanley Cup championship.
-
B.
mostStanleyCupsInNHL
Indicates having won the greatest number of Stanley Cup championships in the history of the NHL compared to all other entities.
-
C.
stanleyCupWinner
Indicates that one entity is the team or individual that won the Stanley Cup in a given season or year.
-
D.
StanleyCupWinningTeam
Indicates that a team has won the Stanley Cup championship in a given season.
-
E.
teamCoachedToStanleyCup
Indicates that a coach led a specific team to winning the Stanley Cup championship.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab611bc819085164f252ac3a390 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.