Triple
T37724012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Kelly |
E939667
|
entity |
| Predicate | hasCoachedPlayoffGame |
P30583
|
FINISHED |
| Object | College Football Playoff |
E1589
|
NE 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: College Football Playoff | Statement: [Brian Kelly, hasCoachedPlayoffGame, College Football Playoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedPlayoffGame Context triple: [Brian Kelly, hasCoachedPlayoffGame, College Football Playoff]
-
A.
hasCoachedInBowlGame
Indicates that a coach has served in a coaching role for a team participating in a bowl game.
-
B.
hasCoachedInSuperBowl
Indicates that a person has served as a coach in at least one Super Bowl game.
-
C.
hasCoachedProfessionalSports
Indicates that a person has served in a coaching role for a professional-level sports team or athlete.
-
D.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
E.
coachedTeamToPlayoffs
chosen
Indicates that a coach successfully led a team to qualify for the playoffs in a competition or league.
- F. None of above.
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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d67df1d8819090bf038521de2c5d |
completed | June 28, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.