Triple
T34910122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1987 Stanley Cup Finals |
E1006840
|
entity |
| Predicate | EdmontonCoachRole |
P182096
|
FINISHED |
| Object | Glen Sather was also general manager |
—
|
NE NERFINISHED |
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: Glen Sather was also general manager | Statement: [1987 Stanley Cup Finals, EdmontonCoachRole, Glen Sather was also general manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EdmontonCoachRole Context triple: [1987 Stanley Cup Finals, EdmontonCoachRole, Glen Sather was also general manager]
-
A.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
C.
coachesPosition
Indicates that one entity serves as the coach for a specific position or role associated with another entity.
-
D.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
E.
CFLTeamCoached
Indicates that one entity serves or has served as the coach of a Canadian Football League (CFL) team represented by the other entity.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4 p.m.