Triple
T35821971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Actors |
E1035527
|
entity |
| Predicate | featuresGangsterCharacter |
—
|
GENERATED |
| Object | Barreller |
—
|
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: featuresGangsterCharacter Context triple: [The Actors, featuresGangsterCharacter, Barreller]
-
A.
featuresVillainActor
Indicates that the subject includes or presents an actor in the role of a villain.
-
B.
featuresAntagonistEntity
Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
-
C.
featuresMafia
chosen
Indicates that something includes or prominently involves the mafia as a significant element or subject.
-
D.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
E.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.