Triple
T30786213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 若尾文子 |
E783960
|
entity |
| Predicate | 監督と協働 |
P38701
|
FINISHED |
| Object |
増村保造
増村保造は、大映を代表する日本の映画監督で、鋭い人間描写とスタイリッシュな演出で知られ、特に女優・若尾文子を起用した作品群で高く評価されている人物である。
|
E1930368
|
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: 増村保造 | Statement: [若尾文子, 監督と協働, 増村保造]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 増村保造 Triple: [若尾文子, 監督と協働, 増村保造]
Generated description
増村保造は、大映を代表する日本の映画監督で、鋭い人間描写とスタイリッシュな演出で知られ、特に女優・若尾文子を起用した作品群で高く評価されている人物である。
Provenance (5 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_6a28b0a7a9988190892052e9d99f13a9 |
completed | June 10, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_6a28b1ecd9448190a88b0f465f97a8ba |
completed | June 10, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28b28f98288190af9d9c0ea08b4254 |
completed | June 10, 2026, 12:40 a.m. |
Created at: April 29, 2026, 8:41 p.m.