Triple
T9001950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oreshura |
E215056
|
entity |
| Predicate | endingThemePerformer |
P42862
|
FINISHED |
| Object | Yukari Tamura |
E823060
|
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: Yukari Tamura | Statement: [Oreshura, endingThemePerformer, Yukari Tamura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yukari Tamura Context triple: [Oreshura, endingThemePerformer, Yukari Tamura]
-
A.
Yukari Tamura
chosen
Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
-
B.
Yukari Sugi
Yukari Sugi is a Japanese actress and the former wife of acclaimed actor Ken Watanabe.
-
C.
Rieko Kodama
Rieko Kodama was a pioneering Japanese video game designer and producer at Sega, best known for her influential work on classic role-playing games and for being one of the first prominent women in the game industry.
-
D.
Shioli Kutsuna
Shioli Kutsuna is a Japanese-Australian actress known for roles in international films and series, including major Hollywood productions and high-profile video game projects.
-
E.
Reika Kirishima
Reika Kirishima is a Japanese actress known for her role in the film adaptation of Haruki Murakami’s novel "Norwegian Wood" (2010).
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3d6191c8190adb41feec1bfa76e |
completed | April 5, 2026, 4:23 a.m. |
Created at: March 30, 2026, 7:05 p.m.