Triple
T37900091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Patterson |
E945386
|
entity |
| Predicate | coachedTeamToBowlGame |
P102255
|
FINISHED |
| Object | Rose Bowl |
—
|
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: Rose Bowl | Statement: [Gary Patterson, coachedTeamToBowlGame, Rose Bowl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedTeamToBowlGame Context triple: [Gary Patterson, coachedTeamToBowlGame, Rose Bowl]
-
A.
coachedTeamInBowlGame
chosen
Indicates that a coach led or directed a particular team in a specific bowl game.
-
B.
coachedTeamInChampionshipGame
Indicates that a person served as the coach of a particular team specifically in a championship game.
-
C.
coachedTeamToPlayoffs
Indicates that a coach successfully led a team to qualify for the playoffs in a competition or league.
-
D.
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.
-
E.
teamCoachedReached
Indicates that a coach’s team successfully advanced to or reached a particular stage, event, or achievement.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.