Triple
T33499200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pehla Nasha |
E857943
|
entity |
| Predicate | hasProminentCameos |
P108137
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Pehla Nasha, hasProminentCameos, yes]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a01a23d8b148190ac2c8765aa9227c4 |
completed | May 11, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_6a01a1e8bb90819096647e929bfb3db8 |
completed | May 11, 2026, 9:31 a.m. |
Created at: May 1, 2026, 1:38 a.m.