Triple
T34675934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoah |
E890493
|
entity |
| Predicate | notableFilmAbout |
—
|
GENERATED |
| Object | Shoah (1985 film by Claude Lanzmann) |
—
|
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: notableFilmAbout Context triple: [Shoah, notableFilmAbout, Shoah (1985 film by Claude Lanzmann)]
-
A.
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.
-
B.
notableGenreOfFilm
Indicates that a particular genre is especially characteristic, prominent, or noteworthy for a given film.
-
C.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
-
D.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
E.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.