Triple
T37225771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogi’s Gang |
E923000
|
entity |
| Predicate | featuresTypeOfAntagonist |
—
|
GENERATED |
| Object | villains representing negative traits |
—
|
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: featuresTypeOfAntagonist Context triple: [Yogi’s Gang, featuresTypeOfAntagonist, villains representing negative traits]
-
A.
featuresAntagonistEntity
Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
-
B.
facesAntagonistType
Indicates that an entity confronts or opposes an antagonist of a specified type.
-
C.
featuresAntagonistNationality
Indicates that the work includes an antagonist whose nationality matches the specified country.
-
D.
featuresVillainActor
Indicates that the subject includes or presents an actor in the role of a villain.
-
E.
antagonistAttribute
chosen
Indicates that an entity possesses a characteristic or role specifically associated with being an antagonist in a narrative or conflict.
- F. None of above.
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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.