Triple
T22363475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampopo |
E552837
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Koji Yakusho |
—
|
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: Koji Yakusho | Statement: [Tampopo, starring, Koji Yakusho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koji Yakusho Context triple: [Tampopo, starring, Koji Yakusho]
-
A.
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."
-
B.
Inoue Yōsui
Inoue Yōsui is a renowned Japanese singer-songwriter known for his influential role in modern Japanese pop and folk music since the 1970s.
-
C.
Seiji Noma
Seiji Noma was a prominent Japanese publisher and founder of the Kodansha publishing company, known for his major influence on modern Japanese literature and culture.
-
D.
Tsukada Ryō
Tsukada Ryō is a Japanese individual notable for bearing the surname Tsukada, though specific widely recognized achievements or roles are not well documented.
-
E.
Inoue Yutaka
Inoue Yutaka is a sculptor best known for creating the prominent statue of Sir Stamford Raffles at Singapore’s Boat Quay.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d616748190921bd49039b7f6fc |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.