Triple
T13145843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōji Yakusho |
E312331
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 役所広司 |
E312331
|
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: 役所広司 | Statement: [Kōji Yakusho, nativeName, 役所広司]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 役所広司 Context triple: [Kōji Yakusho, nativeName, 役所広司]
-
A.
Ken Watanabe
Ken Watanabe is a renowned Japanese actor known internationally for his powerful performances in films such as "The Last Samurai," "Inception," and "Letters from Iwo Jima."
-
B.
Miko Nakadai
Miko Nakadai is a spirited Japanese exchange student and one of the main human allies of the Autobots in the animated series Transformers: Prime.
-
C.
Kōji Yakusho
chosen
Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
-
D.
原広司
原広司は、日本のポストモダン建築を代表し、梅田スカイビルなど独創的な都市建築で知られる建築家です。
-
E.
Toshirō Mifune
Toshirō Mifune was a legendary Japanese actor best known for his iconic collaborations with director Akira Kurosawa in classic samurai and period films such as "Seven Samurai" and "Yojimbo."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d809948190aced5ce377402463 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:10 p.m.