Triple
T30786207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 若尾文子 |
E783960
|
entity |
| Predicate | 共演者 |
P14987
|
FINISHED |
| Object |
市川雷蔵
市川雷蔵は、戦後日本映画を代表する大映の二枚目スターで、『眠狂四郎』シリーズなど数多くの時代劇・文芸作品で知られる名優です。
|
E1930364
|
NE FINISHED |
How this triple was built (3 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: 市川雷蔵 | Statement: [若尾文子, 共演者, 市川雷蔵]
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: 市川雷蔵 Triple: [若尾文子, 共演者, 市川雷蔵]
Generated description
市川雷蔵は、戦後日本映画を代表する大映の二枚目スターで、『眠狂四郎』シリーズなど数多くの時代劇・文芸作品で知られる名優です。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 共演者 Context triple: [若尾文子, 共演者, 市川雷蔵]
-
A.
playedAlongside
Indicates that two or more entities participated together at the same time in a shared activity, performance, or event.
-
B.
playedInEnsembleWith
Indicates that one entity has performed together with another as members of the same musical ensemble or group.
-
C.
co-star
chosen
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
-
D.
performingPartner
Indicates that one entity is the partner who participates in or carries out a performance together with another entity.
-
E.
hasSiblingCoStars
Indicates that two or more entities have appeared together as co-stars and are siblings in relation to each other.
- F. None of above.
Provenance (6 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. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.