Triple
T25183859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ad Vitam Distribution |
E630660
|
entity |
| Predicate | typeOfFilmsDistributed |
P73772
|
FINISHED |
| Object | arthouse films |
—
|
LITERAL 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: arthouse films | Statement: [Ad Vitam Distribution, typeOfFilmsDistributed, arthouse films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFilmsDistributed Context triple: [Ad Vitam Distribution, typeOfFilmsDistributed, arthouse films]
-
A.
distributedFilmType
Indicates that a film was distributed in a particular format or category of distribution.
-
B.
distributedFilmGenre
chosen
Indicates that an entity (such as a company or distributor) distributed a film belonging to a particular genre.
-
C.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
D.
distributesFilmsFor
Indicates that one entity handles the distribution of films on behalf of another entity.
-
E.
producedFilmType
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
- F. None of above.
Provenance (3 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 21, 2026, 12:36 p.m.