Triple

T19409146
Position Surface form Disambiguated ID Type / Status
Subject New Frontier Party E485542 entity
Predicate notableMember P10 FINISHED
Object Tsutomu Hata NE NERFINISHED

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: Tsutomu Hata | Statement: [New Frontier Party, notableMember, Tsutomu Hata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsutomu Hata
Context triple: [New Frontier Party, notableMember, Tsutomu Hata]
  • A. Tsutomu Hata chosen
    Tsutomu Hata was a Japanese politician who briefly served as Prime Minister in 1994 during a turbulent period of coalition politics.
  • B. Takeo Fukuda
    Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
  • C. Yoshihiko Ono
    Yoshihiko Ono is a Japanese mathematician known for his work in number theory and related areas.
  • D. Toshihiko Kishi
    Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
  • E. Hiroshi Satō
    Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.