Triple
T37711523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Rogers films |
E939352
|
entity |
| Predicate | featuresAnimalStar |
—
|
GENERATED |
| Object | Trigger |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAnimalStar Context triple: [Roy Rogers films, featuresAnimalStar, Trigger]
-
A.
animalClassFeatured
Indicates that a particular animal class is highlighted or prominently presented in relation to something (such as content, a display, or a context).
-
B.
featuresAnimalsFrom
Indicates that one entity includes, presents, or showcases animals originating from or associated with another entity.
-
C.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
D.
featuresTalkingAnimals
Indicates that the subject includes or depicts animals that can speak or communicate using human language.
-
E.
animalFamilyFeatured
Indicates that a particular animal family is highlighted or prominently presented in a given context or resource.
- F. None of above. chosen
Provenance (1 batch)
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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.