Triple
T27847029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 윤여정 |
E703851
|
entity |
| Predicate | 소속국가의 영화산업 |
P55618
|
FINISHED |
| Object | 대한민국 영화 산업 |
—
|
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: 대한민국 영화 산업 | Statement: [윤여정, 소속국가의 영화산업, 대한민국 영화 산업]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 소속국가의 영화산업 Context triple: [윤여정, 소속국가의 영화산업, 대한민국 영화 산업]
-
A.
nationalCinema
chosen
Indicates that a film or cinematic work is associated with, produced by, or representative of a particular nation’s cinema.
-
B.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
-
C.
filmCountryOfOrigin
Indicates the country where a film was originally produced or created.
-
D.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
E.
hasInternationalProductionsIn
Indicates that an entity has produced or staged international versions of its work in the specified location or country.
- F. None of above.
Provenance (3 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63902060081909bb490327b0c16f2 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:08 p.m.