Triple
T27143877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Hurdle |
E681887
|
entity |
| Predicate | notableTrainerRecord |
P118175
|
FINISHED |
| Object | Willie Mullins multiple wins |
—
|
LITERAL FINISHED |
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: Willie Mullins multiple wins | Statement: [County Hurdle, notableTrainerRecord, Willie Mullins multiple wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTrainerRecord Context triple: [County Hurdle, notableTrainerRecord, Willie Mullins multiple wins]
-
A.
notableTrainerRelationship
Indicates a significant trainer–trainee relationship exists between the entities, such as one having notably trained, coached, or mentored the other.
-
B.
winningTrainer
Indicates that the trainer is the one who achieved victory in a particular competition or event.
-
C.
mostSuccessfulTrainer
chosen
Indicates that the subject is the trainer who has achieved the highest level of success (e.g., by wins, titles, or performance metrics) among a given set of trainers.
-
D.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
E.
notableTrain
Indicates that there is a train or rail service associated with the subject that is considered notable or significant in some way.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: April 27, 2026, 9:10 a.m.