Triple
T29203631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Kuhn |
E740348
|
entity |
| Predicate | notableFilmType |
—
|
GENERATED |
| Object | feature film |
—
|
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: notableFilmType Context triple: [Michael Kuhn, notableFilmType, feature film]
-
A.
notableProductionType
chosen
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
B.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
C.
notableOriginalFilm
Indicates that a work is the original film from which another work (such as a remake, adaptation, or related production) is derived or notably based.
-
D.
notableGenreAsFilmmaker
Indicates the film genre for which a filmmaker is particularly recognized or distinguished.
-
E.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 28, 2026, 12:08 p.m.