Triple
T24224306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCoy: The Autobiography |
E601548
|
entity |
| Predicate | aboutSport |
P67409
|
FINISHED |
| Object | horse racing |
—
|
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: horse racing | Statement: [McCoy: The Autobiography, aboutSport, horse racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutSport Context triple: [McCoy: The Autobiography, aboutSport, horse racing]
-
A.
popularSport
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
B.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
-
C.
relatedSport
chosen
Indicates that there is an association or connection between an entity and a particular sport.
-
D.
sportsAndRecreation
Indicates a relationship where an entity is associated with, involved in, or designated for sports or recreational activities.
-
E.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight