Triple
T34249468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Vitelloni (film score) |
E878698
|
entity |
| Predicate | associatedGenreOfRelatedFilm |
—
|
GENERATED |
| Object | Italian drama 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: associatedGenreOfRelatedFilm Context triple: [I Vitelloni (film score), associatedGenreOfRelatedFilm, Italian drama film]
-
A.
accompaniesGenreOfFilm
Indicates that one thing is typically associated with or goes along with a particular film genre.
-
B.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
C.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
D.
genreRelation
Indicates a relationship where one entity is categorized as having, belonging to, or being associated with a particular genre defined by another entity.
-
E.
hasGenreOfWorkItAppearsIn
chosen
Indicates that an entity is associated with the genre of the work in which it appears.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.