Triple
T27882705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 Rose Bowl |
E705134
|
entity |
| Predicate | uclaQuarterback |
P163252
|
FINISHED |
| Object | John Sciarra |
—
|
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: John Sciarra | Statement: [1976 Rose Bowl, uclaQuarterback, John Sciarra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uclaQuarterback Context triple: [1976 Rose Bowl, uclaQuarterback, John Sciarra]
-
A.
SeattleQuarterback
Indicates that an entity serves as the quarterback for a football team based in Seattle.
-
B.
quarterbackOregon
Indicates that an entity serves as the quarterback for the Oregon football team.
-
C.
SanFranciscoStartingQuarterback
Indicates that an entity serves as the starting quarterback for the San Francisco football team.
-
D.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets football team.
-
E.
notableFormerQuarterback
Indicates that the subject was previously a quarterback and is recognized as notable or distinguished in that former role.
- 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_69f639aeb1fc81908fab01d2a548512a |
completed | May 2, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 6:31 p.m.