Triple

T17595777
Position Surface form Disambiguated ID Type / Status
Subject 秀樹 E428566 entity
Predicate romanization P2508 FINISHED
Object Hideki 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: Hideki | Statement: [秀樹, romanization, Hideki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hideki
Context triple: [秀樹, romanization, Hideki]
  • A. Hideki chosen
    Hideki is a Japanese given name most famously borne by theoretical physicist Hideki Yukawa, the first Japanese Nobel Prize laureate.
  • B. Tadamichi
    Tadamichi is a Japanese given name historically borne by notable figures such as the Heian-period court noble Fujiwara no Tadamichi.
  • C. Hiroo
    Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
  • D. ヒデキ
    ヒデキ is a common Japanese male given name, often written in katakana and associated with various public figures and entertainers in Japan.
  • E. Soichiro
    Soichiro is the given name of Soichiro Honda, the pioneering Japanese engineer and industrialist who founded the Honda Motor Company.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.