Triple
T34675934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoah |
E890493
|
entity |
| Predicate | notableFilmAbout |
P205513
|
FINISHED |
| Object | Shoah (1985 film by Claude Lanzmann) |
E890493
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shoah (1985 film by Claude Lanzmann) | Statement: [Shoah, notableFilmAbout, Shoah (1985 film by Claude Lanzmann)]
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 (5 batches)
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. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3752ecdc4c8190ad85108298505b00 |
completed | June 21, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:05 a.m.