Triple
T34490937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cronenweth |
E885462
|
entity |
| Predicate | hasNotableCinematographer |
P90619
|
FINISHED |
| Object | Jordan Cronenweth |
E732981
|
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: Jordan Cronenweth | Statement: [Cronenweth, hasNotableCinematographer, Jordan Cronenweth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCinematographer Context triple: [Cronenweth, hasNotableCinematographer, Jordan Cronenweth]
-
A.
notableCinematographer
Indicates that the subject is a cinematographer who is particularly distinguished or well-known for their work.
-
B.
cinematographyNotedFor
Indicates that the subject’s cinematography is especially recognized or distinguished for the object (such as a particular work, style, or notable quality).
-
C.
hasNotableChoreographerAssociation
Indicates a relationship where an entity is significantly associated with a particular choreographer, such as through collaboration, influence, or dedicated work.
-
D.
hasNotableFilm
Indicates that an entity is associated with a film that is considered significant, well-known, or particularly noteworthy.
-
E.
cinematographerOfWork
chosen
Indicates that a person served as the cinematographer (director of photography) for a specific creative 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a032616547c8190bc877202e43403eb |
completed | May 12, 2026, 1:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a373614573c81909acb3368aa06b198 |
completed | June 21, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_6a0325246abc819088e16a7fbadf40c5 |
completed | May 12, 2026, 1:03 p.m. |
Created at: May 1, 2026, 2:01 a.m.