Triple
T38140729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent Film Company |
E952470
|
entity |
| Predicate | typeOfFilmHandled |
—
|
GENERATED |
| Object | independent films |
—
|
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: typeOfFilmHandled Context triple: [Independent Film Company, typeOfFilmHandled, independent films]
-
A.
filmType
Indicates the specific category or genre that a film belongs to.
-
B.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
C.
workFilmType
chosen
Indicates the type or category of film associated with a particular work.
-
D.
cinemaType
Indicates the specific category or kind of cinema associated with an entity (e.g., multiplex, art house, drive-in).
-
E.
recognizesFilmGenre
Indicates that an entity identifies or acknowledges the film genre to which a particular movie belongs.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.