Triple
T17523909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagemusha |
E426744
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Daisuke Ryū |
—
|
NE NERFINISHED |
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: Daisuke Ryū | Statement: [Kagemusha, castMember, Daisuke Ryū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daisuke Ryū Context triple: [Kagemusha, castMember, Daisuke Ryū]
-
A.
Daisuke Ryū
chosen
Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
-
B.
Kenichi Hagiwara
Kenichi Hagiwara was a prominent Japanese actor and singer known for his charismatic performances in film, television, and music from the 1970s onward.
-
C.
Kenichi
Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
-
D.
Ryūō
Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
-
E.
Kyuji Fujikawa
Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d4db60819096a03dbc4254850f |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.