Triple
T26890082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Toreros football (assistant coach) |
E677147
|
entity |
| Predicate | notableFormerAssistantCoach |
P38905
|
FINISHED |
| Object | David Shaw |
—
|
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: David Shaw | Statement: [San Diego Toreros football (assistant coach), notableFormerAssistantCoach, David Shaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFormerAssistantCoach Context triple: [San Diego Toreros football (assistant coach), notableFormerAssistantCoach, David Shaw]
-
A.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
-
B.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
C.
notableAssistantCoaches
chosen
Indicates that the subject has assistant coaches who are particularly distinguished or noteworthy in their roles.
-
D.
notableHeadCoach
Indicates that a person has served as a head coach of particular significance or prominence for a team or organization.
-
E.
notableCoachAlumnus
Indicates that a person is a notable former player or trainee of a particular coach.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: April 27, 2026, 5:44 a.m.