Triple
T2248670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Bylsma |
E49564
|
entity |
| Predicate | headCoachOfStanleyCupWinner |
P36485
|
FINISHED |
| Object | Pittsburgh Penguins 2009 |
—
|
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: Pittsburgh Penguins 2009 | Statement: [Dan Bylsma, headCoachOfStanleyCupWinner, Pittsburgh Penguins 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachOfStanleyCupWinner Context triple: [Dan Bylsma, headCoachOfStanleyCupWinner, Pittsburgh Penguins 2009]
-
A.
stanleyCupChampionWith
Indicates that one entity is the team or individual who won the Stanley Cup in association with the specified season, year, or context.
-
B.
StanleyCupChampion
Indicates that an entity is the team or individual that won the Stanley Cup championship in a given season.
-
C.
StanleyCupWinnerWith
Indicates that one entity is the winner of the Stanley Cup in association with, or while being a member of, the other entity (typically a team or organization).
-
D.
StanleyCupWinningTeam
Indicates that a team has won the Stanley Cup championship in a given season.
-
E.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
- F. None of above. chosen
Provenance (4 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.