Triple

T602066
Position Surface form Disambiguated ID Type / Status
Subject Eisaku Satō E11514 entity
Predicate precededBy P97 FINISHED
Object Hayato Ikeda E19151 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: Hayato Ikeda | Statement: [Eisaku Satō, precededBy, Hayato Ikeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayato Ikeda
Context triple: [Eisaku Satō, precededBy, Hayato Ikeda]
  • A. Hayato Ikeda chosen
    Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
  • B. Daisuke Kato
    Daisuke Kato is a former Japanese professional baseball player best known for his time with the Orix Buffaloes in Nippon Professional Baseball.
  • C. Kenta Izumi
    Kenta Izumi is a Japanese politician who serves as the leader of the main opposition force, the Constitutional Democratic Party of Japan.
  • D. Tomonori Kanemoto
    Tomonori Kanemoto is a former Japanese professional baseball outfielder and manager, best known as an ironman of Nippon Professional Baseball for his consecutive games and innings played streaks.
  • E. Kosuke Imai
    Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7c08648190bbffc8adb4148987 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4279b23c8190854732f4d6d5d6cd completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:35 p.m.