Triple
T33139927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacia Allamand |
E848113
|
entity |
| Predicate | notableGenreParticipation |
—
|
GENERATED |
| Object | Latin American romantic comedies |
—
|
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: notableGenreParticipation Context triple: [Ignacia Allamand, notableGenreParticipation, Latin American romantic comedies]
-
A.
notableGenreAsFilmmaker
Indicates the film genre for which a filmmaker is particularly recognized or distinguished.
-
B.
notableGenreOfFilm
Indicates that a particular genre is especially characteristic, prominent, or noteworthy for a given film.
-
C.
notableGenreCollaboration
Indicates a collaborative relationship between entities that is particularly significant or well-known within a specific genre.
-
D.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:28 a.m.