Triple
T11749809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosano Akiko |
E279375
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yosano Akiko |
E279375
|
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: Yosano Akiko | Statement: [Yosano Akiko, name, Yosano Akiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yosano Akiko Context triple: [Yosano Akiko, name, Yosano Akiko]
-
A.
Yosano Akiko
chosen
Yosano Akiko was a pioneering Japanese poet, feminist, and social reformer of the early 20th century, renowned for her passionate tanka poetry and advocacy for women's rights.
-
B.
Okamura Fumiko
Okamura Fumiko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
C.
Tsukada Yasunari
Tsukada Yasunari is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Tsukada.
-
D.
Nakayama Yoshiko
Nakayama Yoshiko was a Japanese noblewoman best known as the mother of Emperor Meiji, who played a pivotal role in Japan’s modernization.
-
E.
Kawabata Yasunari
Kawabata Yasunari was a Japanese novelist and short story writer, renowned for his lyrical prose and as the first Japanese author to receive the Nobel Prize in Literature.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a0492b48190b6f2e3cf36b4f537 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.