Triple
T1029483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Béliveau |
E22216
|
entity |
| Predicate | StanleyCupWinsTotalIncludingExecutive |
P3779
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Jean Béliveau, StanleyCupWinsTotalIncludingExecutive, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StanleyCupWinsTotalIncludingExecutive Context triple: [Jean Béliveau, StanleyCupWinsTotalIncludingExecutive, 17]
-
A.
StanleyCupWinningSeasons
Indicates the seasons in which a team won the Stanley Cup championship.
-
B.
StanleyCupChampionships
chosen
Indicates the number of times an entity has won the Stanley Cup championship.
-
C.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
-
D.
mostStanleyCupsInNHL
Indicates having won the greatest number of Stanley Cup championships in the history of the NHL compared to all other entities.
-
E.
StanleyCupWinsAsPlayer
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.