Triple
T26392064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ika |
E663437
|
entity |
| Predicate | workFilmFormat |
P136433
|
FINISHED |
| Object | feature film |
—
|
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: feature film | Statement: [Ika, workFilmFormat, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFilmFormat Context triple: [Ika, workFilmFormat, feature film]
-
A.
usesFilmFormat
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
-
B.
appearsInFilmFormat
Indicates that something is presented or occurs within a specific film format or medium of cinematic presentation.
-
C.
workFilmType
chosen
Indicates the type or category of film associated with a particular work.
-
D.
studioSystemFilm
Indicates that a film was produced, distributed, or otherwise created under the control or framework of a particular studio system.
-
E.
workFilmProcess
Indicates that an entity is involved in a specific stage or aspect of the filmmaking process for a work.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610c024f081908237794984538566 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:26 p.m.