Triple
T7797794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōno Ichirō |
E180343
|
entity |
| Predicate | nameInJapanese |
P744
|
FINISHED |
| Object | 河野一郎 |
E681016
|
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: 河野一郎 | Statement: [Kōno Ichirō, nameInJapanese, 河野一郎]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 河野一郎 Context triple: [Kōno Ichirō, nameInJapanese, 河野一郎]
-
A.
河野一郎
chosen
河野一郎は、戦前・戦後の日本で農林大臣や建設大臣などを歴任し、自民党内で大きな影響力を持った保守系の政治家です。
-
B.
枝野幸男
枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
-
C.
森喜朗
森喜朗は、2000年から2001年まで内閣総理大臣を務めた日本の政治家です。
-
D.
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。
-
E.
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.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae984185881908117f9f549ffc443 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb140684ec8190aef5d3cb2e0ea948 |
completed | March 31, 2026, 12:23 a.m. |
Created at: March 30, 2026, 4:32 p.m.