Triple
T1642580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Trottier |
E35505
|
entity |
| Predicate | stanleyCupWinsAsPlayer |
P21708
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Bryan Trottier, stanleyCupWinsAsPlayer, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanleyCupWinsAsPlayer Context triple: [Bryan Trottier, stanleyCupWinsAsPlayer, 6]
-
A.
StanleyCupWinsAsPlayer
chosen
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
-
B.
StanleyCupWinningYearsAsPlayer
Indicates the years in which a person, as a player, was on a team that won the Stanley Cup.
-
C.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
-
D.
stanleyCupFinalsAppearance
Indicates that an entity (typically a hockey team) has participated in the Stanley Cup Finals in a given season or year.
-
E.
wonStanleyCupYear
Indicates that an entity (typically a team) won the Stanley Cup in a specified year.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.