Triple
T8325393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸信介 |
E194938
|
entity |
| Predicate | 親族 |
P28764
|
FINISHED |
| Object | 佐藤栄作 |
E468282
|
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: 佐藤栄作 | Statement: [岸信介, 親族, 佐藤栄作]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 佐藤栄作 Context triple: [岸信介, 親族, 佐藤栄作]
-
A.
佐藤栄作
chosen
佐藤栄作は、昭和期に長期政権を担い日韓基本条約の締結や沖縄返還を進め、ノーベル平和賞も受賞した日本の内閣総理大臣である。
-
B.
Koki Hirota
Koki Hirota was a Japanese diplomat and politician who served as prime minister in the 1930s and was later executed for war crimes after World War II.
-
C.
Tanaka Kakuei
Tanaka Kakuei was a powerful and controversial Japanese politician who served as Prime Minister in the 1970s and became infamous for his central role in the Lockheed bribery scandal.
-
D.
Shigeru Yoshida
Shigeru Yoshida was a Japanese diplomat and statesman who led Japan’s post–World War II recovery and helped shape its pacifist constitution and pro-Western foreign policy.
-
E.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf422648208190beaa6eaef4173f21 |
completed | April 3, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:56 p.m.