Triple
T33404403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of Minari) |
E855397
|
entity |
| Predicate | associatedFilmIndustry |
P188747
|
FINISHED |
| Object | Hollywood |
E247
|
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: Hollywood | Statement: [Academy Award for Best Picture (as producer of Minari), associatedFilmIndustry, Hollywood]
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 (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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3576e649ac81908832d2faf4cdba6f |
completed | June 19, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:36 a.m.