Triple
T36146265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon Pictures |
E1045459
|
entity |
| Predicate | associatedWithFilmCinematographer |
P90619
|
FINISHED |
| Object | Slawomir Idziak |
E118208
|
NE 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: Slawomir Idziak | Statement: [Dragon Pictures, associatedWithFilmCinematographer, Slawomir Idziak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFilmCinematographer Context triple: [Dragon Pictures, associatedWithFilmCinematographer, Slawomir Idziak]
-
A.
cinematographerOfWork
chosen
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
-
B.
frequentCinematographerCollaborator
Indicates a relationship where a cinematographer regularly works with or repeatedly collaborates on projects with the same director or creative partner.
-
C.
associatedWithComposerOfFilm
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
D.
roleInCinematography
Indicates the specific function or responsibility an entity has within the creation, execution, or management of cinematography for a film or visual production.
-
E.
notableCinematographer
Indicates that the subject is a cinematographer who is particularly distinguished or well-known for their work.
- F. None of above.
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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a5a5ad1cf488190bb2e70306892bb3e |
completed | July 17, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.