Triple
T38349715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Film Management |
E1041642
|
entity |
| Predicate | associatedWithFilmMovement |
P88804
|
FINISHED |
| Object | independent 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: independent film | Statement: [International Film Management, associatedWithFilmMovement, independent film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFilmMovement Context triple: [International Film Management, associatedWithFilmMovement, independent film]
-
A.
isPartOfGenreMovement
chosen
Indicates that an entity belongs to, or is associated with, a particular artistic or cultural genre movement.
-
B.
associatedWithArtistMovement
Indicates that an entity has a connection or affiliation with a particular artistic movement or style.
-
C.
associatedWithComposerOfFilm
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
D.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
E.
associatedWithDirectors
Indicates a direct relationship or connection between an entity and one or more film or project directors.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.