Triple
T34566912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Miracle of the White Stallions |
E887515
|
entity |
| Predicate | portraysBreed |
P41121
|
FINISHED |
| Object | Lipizzaner |
—
|
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: Lipizzaner | Statement: [The Miracle of the White Stallions, portraysBreed, Lipizzaner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysBreed Context triple: [The Miracle of the White Stallions, portraysBreed, Lipizzaner]
-
A.
associatedAnimalBreed
chosen
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
-
B.
dogCharacter
Indicates that an entity has the personality traits, behavior, or role characteristic of a dog.
-
C.
hasTypicalBreed
Indicates that an entity (such as an animal or pet) is associated with a breed that is considered standard or characteristic for its kind.
-
D.
portraysRealAnimal
Indicates that the subject depicts or represents an actual, non-fictional animal rather than an imaginary or stylized creature.
-
E.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: May 1, 2026, 2:02 a.m.