Triple
T5002379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 摺鉢山 |
E112402
|
entity |
| Predicate | 関連映画 |
P50867
|
FINISHED |
| Object | 硫黄島からの手紙 |
—
|
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: 硫黄島からの手紙 | Statement: [摺鉢山, 関連映画, 硫黄島からの手紙]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連映画 Context triple: [摺鉢山, 関連映画, 硫黄島からの手紙]
-
A.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
B.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
C.
hasSequelOrRelated
chosen
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
-
D.
theatricalReleaseWith
Indicates that two or more entities share the same theatrical release context, such as being released together or as part of the same theatrical event or distribution.
-
E.
filmBasedOn
Indicates that a film is adapted from or derived from the story, characters, or events of another work.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.