Triple
T11749811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosano Akiko |
E279375
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 与謝野晶子 |
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: 与謝野晶子 | Statement: [Yosano Akiko, nativeName, 与謝野晶子]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 与謝野晶子 Context triple: [Yosano Akiko, nativeName, 与謝野晶子]
-
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.
斎藤春子
斎藤春子は、日本の政治家で第19代内閣総理大臣を務めた斎藤実の妻として知られる人物である。
-
C.
Masaoka Shiki
Masaoka Shiki was a pioneering Meiji-era Japanese poet and critic who modernized haiku and tanka, helping to transform them into contemporary literary forms.
-
D.
栗林貞子
栗林貞子は、第二次世界大戦中の硫黄島守備隊司令官として知られる日本陸軍大将・栗林忠道の家族の一員である女性である。
-
E.
中江兆民
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
- 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.