Triple
T26697512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan D'Antoni |
E673062
|
entity |
| Predicate | coachIn |
P131029
|
FINISHED |
| Object | National Basketball Association |
—
|
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: National Basketball Association | Statement: [Dan D'Antoni, coachIn, National Basketball Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachIn Context triple: [Dan D'Antoni, coachIn, National Basketball Association]
-
A.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
-
B.
coachProfession
chosen
Indicates that one entity serves professionally as a coach in relation to the other entity.
-
C.
isCoach
Indicates that one entity serves as the coach (trainer or instructor) of another entity.
-
D.
coachesFor
Indicates that one entity serves as a coach or trainer for another entity, typically providing guidance, instruction, or leadership in a specific activity or domain.
-
E.
movementCoach
Indicates a relationship where one entity serves as a coach or instructor guiding another entity’s physical movement or movement-related skills.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 3:29 a.m.