Triple
T26392058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ika |
E663437
|
entity |
| Predicate | filmCinematographyByInWork |
P90619
|
FINISHED |
| Object | Claude Agostini |
—
|
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: Claude Agostini | Statement: [Ika, filmCinematographyByInWork, Claude Agostini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCinematographyByInWork Context triple: [Ika, filmCinematographyByInWork, Claude Agostini]
-
A.
cinematographerOfWork
chosen
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
-
B.
studioFilm
Indicates that a film is produced, distributed, or otherwise created by a particular studio.
-
C.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
-
D.
cinematographyBy
Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
-
E.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
- 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_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:26 p.m.