Triple
T29074250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needle |
E735892
|
entity |
| Predicate | mainNonHumanProtagonist |
P25502
|
FINISHED |
| Object | Hunter |
—
|
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: Hunter | Statement: [Needle, mainNonHumanProtagonist, Hunter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainNonHumanProtagonist Context triple: [Needle, mainNonHumanProtagonist, Hunter]
-
A.
hasFictionalAgriculturalCharacter
Indicates that an entity features or includes a character associated with agriculture within a fictional context.
-
B.
animalProtagonist
chosen
Indicates that the main character or central figure in a narrative is an animal.
-
C.
includesNonHumanCharacters
Indicates that the subject contains or features characters that are not human, such as animals, aliens, or other non-human entities.
-
D.
animatedCharacter
Indicates that an entity is a fictional character depicted through animation rather than live action.
-
E.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f660fc394c8190846af2f6190fcffe |
completed | May 2, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:22 a.m.