Triple
T30450802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bound for Glory (1976 film) |
E774706
|
entity |
| Predicate | cinematographyNotedFor |
P169455
|
FINISHED |
| Object | innovative use of the Steadicam |
—
|
LITERAL 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: innovative use of the Steadicam | Statement: [Bound for Glory (1976 film), cinematographyNotedFor, innovative use of the Steadicam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cinematographyNotedFor Context triple: [Bound for Glory (1976 film), cinematographyNotedFor, innovative use of the Steadicam]
-
A.
notableCinematographer
Indicates that the subject is a cinematographer who is particularly distinguished or well-known for their work.
-
B.
cinematographyAwardedTo
Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
-
C.
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.
-
D.
cinematographerOfWork
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
-
E.
cinematographyAwardNominee
Indicates that an entity was nominated to receive an award specifically recognizing excellence in cinematography.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c3f7e481909d7710aa80c2b429 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:09 p.m.