Triple
T27231320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stayers’ Hurdle |
E682161
|
entity |
| Predicate | recordWinsByTrainer |
P118175
|
FINISHED |
| Object | Paul Nicholls |
—
|
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: Paul Nicholls | Statement: [Stayers’ Hurdle, recordWinsByTrainer, Paul Nicholls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordWinsByTrainer Context triple: [Stayers’ Hurdle, recordWinsByTrainer, Paul Nicholls]
-
A.
winningTrainer
Indicates that the trainer is the one who achieved victory in a particular competition or event.
-
B.
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.
-
C.
raceRecordWins
Indicates that one entity has achieved a greater number of wins than another entity in recorded races.
-
D.
EpsomDerbyWinningTrainer
Indicates that the subject is the trainer who trained the winning horse of the Epsom Derby in the specified year or event.
-
E.
recordWinsByHorseYears
Indicates the number of years in which a particular horse achieved record-setting wins.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 9:46 a.m.