Triple
T37209249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit Riding Free |
E922253
|
entity |
| Predicate | mainProtagonistHorse |
P151807
|
FINISHED |
| Object | Spirit Jr. |
—
|
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: Spirit Jr. | Statement: [Spirit Riding Free, mainProtagonistHorse, Spirit Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProtagonistHorse Context triple: [Spirit Riding Free, mainProtagonistHorse, Spirit Jr.]
-
A.
protagonistHorse
chosen
Indicates that the subject is the main or central horse character in a narrative or story.
-
B.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
C.
hasRacehorseCharacter
Indicates that one entity possesses the traits, qualities, or behavioral characteristics associated with a racehorse in relation to another entity or context.
-
D.
hasDonkeyProtagonist
Indicates that the main character or central figure in a narrative is a donkey.
-
E.
usesHorseType
Indicates that one entity employs, relies on, or operates using a specific type or category of horse.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.