Triple
T7436200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear |
E171621
|
entity |
| Predicate | featuresAnimalProtagonist |
P39813
|
FINISHED |
| Object | bear cub |
—
|
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: bear cub | Statement: [The Bear, featuresAnimalProtagonist, bear cub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAnimalProtagonist Context triple: [The Bear, featuresAnimalProtagonist, bear cub]
-
A.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
B.
featuresTalkingAnimals
Indicates that the subject includes or depicts animals that can speak or communicate using human language.
-
C.
protagonistSpecies
chosen
Indicates that an entity is the species or kind of creature to which the protagonist of a story or scenario belongs.
-
D.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
E.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.