Triple

T8879659
Position Surface form Disambiguated ID Type / Status
Subject Yoshiko Kishi E211376 entity
Predicate relative P37 FINISHED
Object Nobusuke Kishi E37588 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: Nobusuke Kishi | Statement: [Yoshiko Kishi, relative, Nobusuke Kishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobusuke Kishi
Context triple: [Yoshiko Kishi, relative, Nobusuke Kishi]
  • A. Nobusuke Kishi chosen
    Nobusuke Kishi was a prominent Japanese politician who served as Prime Minister from 1957 to 1960 and played a key role in postwar Japan’s political and economic direction.
  • B. 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.
  • 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. 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.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61677c9c8190aa09dc2a05d4cf95 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0171e98a081909875c96defaf9bfa completed April 3, 2026, 7:38 p.m.
Created at: March 30, 2026, 6:52 p.m.