Triple
T26003884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anima |
E646704
|
entity |
| Predicate | hasCompanionFilm |
P192355
|
FINISHED |
| Object | Anima (short film) |
—
|
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: Anima (short film) | Statement: [Anima, hasCompanionFilm, Anima (short film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionFilm Context triple: [Anima, hasCompanionFilm, Anima (short film)]
-
A.
hasSequelAdaptation
Indicates that an original work has a subsequent adaptation that continues its story or follows it in sequence.
-
B.
hasSequelOrRelated
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
-
C.
alsoFilmedIn
Indicates that the same film or video production was additionally shot or recorded in another specified location.
-
D.
hasSequelDepiction
Indicates that one depiction of something is followed by another depiction that continues its story or sequence.
-
E.
hasSecondSequel
Indicates that an entity has a second sequel, i.e., a third work in a series that continues its storyline or content.
- 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_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: April 22, 2026, 9 a.m.