Triple
T31031595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pénélope |
E790741
|
entity |
| Predicate | hasWorkCinematographer |
P90619
|
FINISHED |
| Object | Jean-Jacques Tarbès |
—
|
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: Jean-Jacques Tarbès | Statement: [Pénélope, hasWorkCinematographer, Jean-Jacques Tarbès]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkCinematographer Context triple: [Pénélope, hasWorkCinematographer, Jean-Jacques Tarbès]
-
A.
cinematographerOfWork
chosen
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
-
B.
workedBehindTheCameraAs
Indicates that a person contributed to a production in an off-screen or non-acting role, such as directing, producing, or other behind-the-scenes work.
-
C.
hasCameraWork
Indicates that an entity features or involves specific camera operation or cinematographic techniques performed by another entity.
-
D.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
E.
frequentCinematographerCollaborator
Indicates a relationship where a cinematographer regularly works with or repeatedly collaborates on projects with the same director or creative partner.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 29, 2026, 8:59 p.m.