Triple
T36987977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolmore Stud |
E915015
|
entity |
| Predicate | primaryTrainer |
—
|
GENERATED |
| Object | Aidan O'Brien |
—
|
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: primaryTrainer Context triple: [Coolmore Stud, primaryTrainer, Aidan O'Brien]
-
A.
trainer
chosen
Indicates a relationship where one entity teaches, coaches, or prepares another entity to develop skills, knowledge, or performance in a particular domain.
-
B.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
alsoTrains
Indicates that an entity, in addition to its primary role or activity, is involved in training another entity.
-
D.
trainingPartner
Indicates that two entities participate together in training activities, typically collaborating or assisting each other in practice or skill development.
-
E.
primaryTrainingFocus
Indicates the main area or aspect that training is chiefly directed toward or concentrated on.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.