Triple
T24224030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Peter McCoy |
E601541
|
entity |
| Predicate | horseRidden |
P59648
|
FINISHED |
| Object | Don’t Push It |
—
|
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: Don’t Push It | Statement: [Anthony Peter McCoy, horseRidden, Don’t Push It]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: horseRidden Context triple: [Anthony Peter McCoy, horseRidden, Don’t Push It]
-
A.
horseSport
Indicates a relationship where an activity or sport specifically involves the participation or use of horses.
-
B.
isRiddenBy
chosen
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
-
C.
hasEquestrianFacility
Indicates that a place or property includes facilities specifically designed for horse-related activities, such as riding, training, or boarding.
-
D.
usesHorseType
Indicates that one entity employs, relies on, or operates using a specific type or category of horse.
-
E.
ownedRacehorse
Indicates that one entity possessed legal ownership of a particular racehorse.
- 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