Triple
T5763697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 麻生太郎 |
E127157
|
entity |
| Predicate | 配偶者 |
P13
|
FINISHED |
| Object | 麻生千賀子 |
E129835
|
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: 麻生千賀子 | Statement: [麻生太郎, 配偶者, 麻生千賀子]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 麻生千賀子 Context triple: [麻生太郎, 配偶者, 麻生千賀子]
-
A.
Tsutako Nakasone
Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
-
B.
Chikako Aso
chosen
Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
-
C.
Ayako Satō
Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
D.
Yoshiko Aso
Yoshiko Aso is a member of the prominent Aso political and business family in Japan, known for her familial connection to former Prime Minister Taro Aso.
-
E.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e59c2d0819091101dea300e1d7e |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.