Triple
T30786166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 若尾文子 |
E783960
|
entity |
| Predicate | 所属スタジオ |
P30541
|
FINISHED |
| Object |
大映
大映は、かつて日本の映画黄金期を支え、多くの名作やスターを生み出した大手映画製作・配給会社です。
|
E1930343
|
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: 大映 | Statement: [若尾文子, 所属スタジオ, 大映]
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: 大映 Triple: [若尾文子, 所属スタジオ, 大映]
Generated description
大映は、かつて日本の映画黄金期を支え、多くの名作やスターを生み出した大手映画製作・配給会社です。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属スタジオ Context triple: [若尾文子, 所属スタジオ, 大映]
-
A.
hasStudio
chosen
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
B.
formerStudioOf
Indicates that a studio previously occupied or used by one entity is now associated with another entity as its former studio.
-
C.
ownedStudio
Indicates that one entity possessed ownership or controlling interest in a particular studio.
-
D.
hasStudiosIn
Indicates that an entity operates or maintains studio facilities located in a specified place or region.
-
E.
associatedWithArtistStudio
Indicates that an entity has a relationship or connection to a particular artist’s studio, such as being located in, created in, or otherwise linked to that studio.
- 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.