Triple

T3877476
Position Surface form Disambiguated ID Type / Status
Subject Eisaku Satō E92537 entity
Predicate familyName P18 FINISHED
Object Satō E92538 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: Satō | Statement: [Eisaku Satō, familyName, Satō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satō
Context triple: [Eisaku Satō, familyName, Satō]
  • A. Satō chosen
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Yamada
    Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea458dd088190834a647c7316a83c completed March 21, 2026, 1:59 p.m.
Created at: March 9, 2026, 3:20 p.m.