Triple
T16621110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yui Satō |
E403828
|
entity |
| Predicate | canBeRomanizedAs |
P2508
|
FINISHED |
| Object | Yui Sato |
—
|
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: Yui Sato | Statement: [Yui Satō, canBeRomanizedAs, Yui Sato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yui Sato Context triple: [Yui Satō, canBeRomanizedAs, Yui Sato]
-
A.
Asami Sato
Asami Sato is a skilled nonbender engineer, pilot, and businesswoman in *The Legend of Korra*, known for her intelligence, resourcefulness, and leadership within Team Avatar.
-
B.
Yui Satō
chosen
Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
-
C.
Takako Nogami
Takako Nogami is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Takako.
-
D.
Takako Shirai
Takako Shirai is a Japanese singer-songwriter known for her work in pop and rock music since the late 1970s.
-
E.
Yukari Tamura
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.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
Created at: April 10, 2026, 5:17 a.m.