Triple

T10600974
Position Surface form Disambiguated ID Type / Status
Subject Hitoshi E275744 entity
Predicate hasNotableBearer P458 FINISHED
Object Hitoshi Imamura E127629 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: Hitoshi Imamura | Statement: [Hitoshi, hasNotableBearer, Hitoshi Imamura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitoshi Imamura
Context triple: [Hitoshi, hasNotableBearer, Hitoshi Imamura]
  • A. Hitoshi Imamura chosen
    Hitoshi Imamura was a senior Imperial Japanese Army general during World War II, known for leading major operations in Southeast Asia and the Pacific.
  • B. Hitoshi Iwaaki
    Hitoshi Iwaaki is a Japanese manga artist best known internationally for creating the science fiction horror series "Parasyte."
  • C. Hitoshi Kihara
    Hitoshi Kihara was a pioneering Japanese geneticist known for his fundamental contributions to plant genetics and cytogenetics, particularly in wheat.
  • D. Hitoshi Ishida
    Hitoshi Ishida is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • E. Hitoshi Nakajima
    Hitoshi Nakajima is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e70dc788190850278a40a5a62e4 completed May 9, 2026, 12:23 a.m.
Created at: April 8, 2026, 7:31 p.m.