Triple
T36932471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Shot (1922 film) |
E913515
|
entity |
| Predicate | featuresPerformerFrom |
—
|
GENERATED |
| Object | Australia |
—
|
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: featuresPerformerFrom Context triple: [The Big Shot (1922 film), featuresPerformerFrom, Australia]
-
A.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
-
B.
featuresPerformerCameo
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
-
C.
featuresPerformerAsSelfTypeRole
Indicates that a work includes a performer appearing as themselves in a specific type of role.
-
D.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
E.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.