Triple
T33730970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky film series scores |
E864272
|
entity |
| Predicate | composerOfEarlyFilms |
P193850
|
FINISHED |
| Object | Bill Conti |
—
|
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: Bill Conti | Statement: [Rocky film series scores, composerOfEarlyFilms, Bill Conti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfEarlyFilms Context triple: [Rocky film series scores, composerOfEarlyFilms, Bill Conti]
-
A.
earlyFilmsProducedBy
Indicates that the subject entity’s early films were produced by the object entity.
-
B.
cinematographyPioneerOf
Indicates that one entity is recognized as an early innovator or trailblazer in the field of cinematography for another entity (such as a film, movement, or style).
-
C.
firstProductionDirector
Indicates that the object is the person who first served as production director for the subject.
-
D.
cinematographerOfWork
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
-
E.
workedAsProducerFor
Indicates that one entity served in the role of producer for a work, project, or production associated with another entity.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fd57b9cdec81908536c4159e375931 |
completed | May 8, 2026, 3:25 a.m. |
Created at: May 1, 2026, 1:44 a.m.