Triple
T33304034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night of the Grizzly |
E852666
|
entity |
| Predicate | hasAnimalAntagonist |
P121133
|
FINISHED |
| Object | grizzly bear |
—
|
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: grizzly bear | Statement: [The Night of the Grizzly, hasAnimalAntagonist, grizzly bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalAntagonist Context triple: [The Night of the Grizzly, hasAnimalAntagonist, grizzly bear]
-
A.
hasSharkAntagonist
Indicates that an entity features a shark serving as an opposing or hostile force, often in a central conflict role.
-
B.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
C.
hasAntagonisticProtagonist
Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
-
D.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
E.
primaryAntagonistSpeciesFaced
chosen
Indicates the species that serves as the main opposing or enemy group confronted by a given entity.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:33 a.m.