Triple
T37724011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Kelly |
E939667
|
entity |
| Predicate | hasCoachedBowlGame |
P153092
|
FINISHED |
| Object | BCS bowl game |
—
|
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: BCS bowl game | Statement: [Brian Kelly, hasCoachedBowlGame, BCS bowl game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedBowlGame Context triple: [Brian Kelly, hasCoachedBowlGame, BCS bowl game]
-
A.
hasCoachedInBowlGame
chosen
Indicates that a coach has served in a coaching role for a team participating in a bowl game.
-
B.
bowlGamesCoached
Indicates the number of postseason bowl games in which a coach has served as the head coach for a team.
-
C.
hasCoachedInSuperBowl
Indicates that a person has served as a coach in at least one Super Bowl game.
-
D.
hasWonBowlGames
Indicates that one entity has achieved victories in one or more bowl games associated with another entity.
-
E.
hasWonBowlGame
Indicates that a team or individual has achieved victory in a specific bowl game competition.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.