Triple
T31322950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Triano |
E798798
|
entity |
| Predicate | hasCoachedProfessionally |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedProfessionally Context triple: [Jay Triano, hasCoachedProfessionally, true]
-
A.
hasCoachedIn
Indicates that one entity has served as a coach in a particular context, such as for a team, organization, event, or location.
-
B.
hasCoachingExperienceAs
chosen
Indicates that an entity has experience providing coaching in a specified role or capacity.
-
C.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
D.
hasCoachedDiscipline
Indicates that a person has coached or provided training in a particular discipline, field, or area of expertise.
-
E.
workedWithCoach
Indicates that an entity has received guidance, training, or collaboration from a coach in some capacity.
- F. None of above.
Provenance (1 batch)
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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:15 p.m.