Triple
T29359086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Kauer |
E744532
|
entity |
| Predicate | notableGenreOfFilm |
—
|
GENERATED |
| Object | psychological drama |
—
|
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: notableGenreOfFilm Context triple: [Sophie Kauer, notableGenreOfFilm, psychological drama]
-
A.
notableGenreAsFilmmaker
Indicates the film genre for which a filmmaker is particularly recognized or distinguished.
-
B.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
C.
notableGenreAdaptation
Indicates that a work is a significant adaptation of another work into a different genre.
-
D.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
E.
genreOfAwardedFilm
Indicates the genre category associated with a film that has received an award.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:15 p.m.