Triple
T2618397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田裕子 |
E58945
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | 岸田文雄 |
E1011
|
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: 岸田文雄 | Statement: [岸田裕子, spouse, 岸田文雄]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岸田文雄 Context triple: [岸田裕子, spouse, 岸田文雄]
-
A.
河野太郎
河野太郎 is a prominent Japanese politician known for serving in key cabinet posts such as foreign minister and defense minister, and for his active presence in domestic reform and digital policy.
-
B.
麻生太郎
麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
-
C.
池田勇人
池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
-
D.
Fumio Kishida
chosen
Fumio Kishida is a Japanese politician and leader of the Liberal Democratic Party who serves as the Prime Minister of Japan.
-
E.
Shigeru Ishiba
Shigeru Ishiba is a veteran Japanese politician of the Liberal Democratic Party known for his defense expertise and repeated bids for party leadership and the prime ministership.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd894b29c81909c7f78c6c3cc7f89 |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af908ba2908190b535d96c6f0e76ba |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.