Triple
T4438008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrogate |
E95697
|
entity |
| Predicate | associatedWithTrainerBarn |
P47792
|
FINISHED |
| Object | Bob Baffert barn in California |
—
|
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: Bob Baffert barn in California | Statement: [Arrogate, associatedWithTrainerBarn, Bob Baffert barn in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTrainerBarn Context triple: [Arrogate, associatedWithTrainerBarn, Bob Baffert barn in California]
-
A.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
hasStabling
chosen
Indicates that one entity provides or contains stabling facilities (such as stalls or accommodation) for another, typically for animals like horses.
-
C.
notableTrainerRelationship
Indicates a significant trainer–trainee relationship exists between the entities, such as one having notably trained, coached, or mentored the other.
-
D.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
-
E.
associatedWithArena
Indicates a relationship in which an entity is linked or connected to a particular arena, such as by location, use, affiliation, or operation.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558c75948190875a5fb10eac0597 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.