Triple
T30090035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Pagan |
E764703
|
entity |
| Predicate | trainedRacehorse |
P172836
|
FINISHED |
| Object | Johnny Get Angry |
—
|
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: Johnny Get Angry | Statement: [Denis Pagan, trainedRacehorse, Johnny Get Angry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainedRacehorse Context triple: [Denis Pagan, trainedRacehorse, Johnny Get Angry]
-
A.
ownedRacehorse
Indicates that one entity possessed legal ownership of a particular racehorse.
-
B.
nationalityAsRacehorse
Indicates the country or region with which a racehorse is officially associated or registered for racing purposes.
-
C.
eligibleHorses
Indicates that certain horses meet the required conditions or criteria to qualify for a specified status, event, or action.
-
D.
hasRacehorseCharacter
Indicates that one entity possesses the traits, qualities, or behavioral characteristics associated with a racehorse in relation to another entity or context.
-
E.
notableHorse
Indicates that the subject is a horse recognized for particular significance, fame, or distinction.
- F. None of above. chosen
Provenance (4 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 7:05 p.m.