Triple
T33404403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of Minari) |
E855397
|
entity |
| Predicate | associatedFilmIndustry |
—
|
GENERATED |
| Object | Hollywood |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFilmIndustry Context triple: [Academy Award for Best Picture (as producer of Minari), associatedFilmIndustry, Hollywood]
-
A.
filmIndustrySector
chosen
Indicates the specific segment or branch of the film industry to which an entity belongs or with which it is primarily associated.
-
B.
filmIndustryDepicted
Indicates that the work portrays or represents aspects of the film industry within its content or narrative.
-
C.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
-
D.
sangForFilmIndustry
Indicates that a person performed singing specifically for use in the film industry, such as in movies or film soundtracks.
-
E.
originatesInFilmIndustry
Indicates that something has its source, development, or primary origin within the film industry.
- F. None of above.
Provenance (1 batch)
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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.