Triple
T22363296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 硫黄島からの手紙 |
E552833
|
entity |
| Predicate | 配給会社(日本) |
P147369
|
FINISHED |
| Object | ワーナー・ブラザース映画 |
—
|
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: ワーナー・ブラザース映画 | Statement: [硫黄島からの手紙, 配給会社(日本), ワーナー・ブラザース映画]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 配給会社(日本) Context triple: [硫黄島からの手紙, 配給会社(日本), ワーナー・ブラザース映画]
-
A.
coProductionCompany
Indicates a company that collaborates with one or more other companies in the joint production of a work or project.
-
B.
productionCompanyAffiliation
Indicates a relationship where an entity is formally associated with or linked to a production company, typically through involvement in producing media or entertainment content.
-
C.
productionCompanyRole
Indicates the specific capacity or function an entity fulfills within a production company’s activities or projects.
-
D.
productionCompanyCountry
Indicates the country in which a production company involved in creating a work is based or registered.
-
E.
productionCompanyOfWork
Indicates that a company is responsible for producing a particular creative work (such as a film, TV show, or similar production).
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d616748190921bd49039b7f6fc |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.