Triple
T22533200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中山慶子 |
E557095
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | 中山慶子(なかやま よしこ) |
—
|
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: 中山慶子(なかやま よしこ) | Statement: [中山慶子, 別名, 中山慶子(なかやま よしこ)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中山慶子(なかやま よしこ) Context triple: [中山慶子, 別名, 中山慶子(なかやま よしこ)]
-
A.
中山慶子
chosen
中山慶子 was a Japanese noblewoman and lady-in-waiting of the late Edo period, best known as the birth mother of Emperor Meiji.
-
B.
Konoe Sakiko
Konoe Sakiko was a Japanese noblewoman of the powerful Konoe family who became an imperial consort to Emperor Go-Yōzei during the late Azuchi–Momoyama and early Edo periods.
-
C.
Konoe Chiyoko
Konoe Chiyoko was a Japanese noblewoman best known as the wife of pre-World War II and wartime Prime Minister Fumimaro Konoe.
-
D.
Higashikuni Nobuko
Higashikuni Nobuko was a Japanese princess of the Imperial Family who became a member of the Higashikuni-no-miya house through marriage.
-
E.
Nagako Kuni
Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.