Triple
T33499200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pehla Nasha |
E857943
|
entity |
| Predicate | hasProminentCameos |
—
|
GENERATED |
| Object | yes |
—
|
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: hasProminentCameos Context triple: [Pehla Nasha, hasProminentCameos, yes]
-
A.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
B.
cameoCharacter
chosen
Indicates that one entity appears briefly or in a minor, special-guest role within the context or work associated with another entity.
-
C.
hasProminentSupportingActor
Indicates that an entity (such as a film or show) features a supporting actor whose role or recognition is notably significant within that work.
-
D.
hasDirectorCameo
Indicates that the director of a work appears in a cameo role within that same work.
-
E.
prominentAppearanceFilm
Indicates that an entity has a major or highly visible role or presence in a particular film.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:38 a.m.