Triple
T26003907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anima |
E646704
|
entity |
| Predicate | shortFilmReleasePlatform |
P159866
|
FINISHED |
| Object | Netflix |
—
|
NE NERFINISHED |
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: Netflix | Statement: [Anima, shortFilmReleasePlatform, Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFilmReleasePlatform Context triple: [Anima, shortFilmReleasePlatform, Netflix]
-
A.
shortFilmComponent
Indicates that one entity is a component, segment, or part of a short film represented by the other entity.
-
B.
shortFilmReleaseYear
Indicates the calendar year in which a short film was first released to the public.
-
C.
hasShortFilmAttachedInTheaters
Indicates that a film is accompanied by a specific short film when shown in theaters.
-
D.
hasCinematicShort
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
E.
notableShortFilm
Indicates that the subject is a short film that is recognized as notable or significant in some meaningful way.
- F. None of above. chosen
Provenance (4 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60577c7188190b9a5fef79c150176 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 9 a.m.