Triple
T30786171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 若尾文子 |
E783960
|
entity |
| Predicate | 代表的な分野 |
P39276
|
FINISHED |
| Object | 日本映画 |
—
|
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: 日本映画 | Statement: [若尾文子, 代表的な分野, 日本映画]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表的な分野 Context triple: [若尾文子, 代表的な分野, 日本映画]
-
A.
fieldOfSignificance
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
-
B.
majorField
Indicates the primary academic discipline or field of study in which an entity (typically a person or program) specializes.
-
C.
fieldOfRecognition
Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
-
D.
notableField
chosen
Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
-
E.
practicedInField
Indicates that an entity has engaged in practical work, training, or professional activity within a specified field or domain.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.