Triple
T3192935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Cowher |
E66865
|
entity |
| Predicate | teamCoachedTo |
P24181
|
FINISHED |
| Object | Pittsburgh Steelers, 2006 |
—
|
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 Steelers, 2006 | Statement: [Bill Cowher, teamCoachedTo, Pittsburgh Steelers, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCoachedTo Context triple: [Bill Cowher, teamCoachedTo, Pittsburgh Steelers, 2006]
-
A.
teamTypeCoached
Indicates the type or category of team that an individual has coached.
-
B.
coachingTeam
chosen
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
C.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
D.
leagueCoachedIn
Indicates the league in which a person or coach has coached a team.
-
E.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.