Triple
T27882712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 Rose Bowl |
E705134
|
entity |
| Predicate | coachCareerNote |
P168958
|
FINISHED |
| Object | final game at UCLA for Dick Vermeil |
—
|
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: final game at UCLA for Dick Vermeil | Statement: [1976 Rose Bowl, coachCareerNote, final game at UCLA for Dick Vermeil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachCareerNote Context triple: [1976 Rose Bowl, coachCareerNote, final game at UCLA for Dick Vermeil]
-
A.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
B.
coachProfession
Indicates that one entity serves professionally as a coach in relation to the other entity.
-
C.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
D.
coachesSport
Indicates that one entity serves as the coach or trainer responsible for another entity’s participation in a particular sport.
-
E.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 6:31 p.m.