Triple

T23198936
Position Surface form Disambiguated ID Type / Status
Subject Shunsuke Nakamura E579953 entity
Predicate familyName P18 FINISHED
Object Nakamura 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: Nakamura | Statement: [Shunsuke Nakamura, familyName, Nakamura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakamura
Context triple: [Shunsuke Nakamura, familyName, Nakamura]
  • A. Nakamura chosen
    Nakamura is a common Japanese surname borne by many notable individuals across fields such as science, entertainment, and sports.
  • B. Nishimura
    Nishimura is a Japanese surname borne by numerous individuals across fields such as politics, sports, arts, and academia.
  • C. Koji Nakamura
    Koji Nakamura is a Japanese musician and producer known for his work in alternative rock and electronic music, including as a member of the band Supercar and through his solo projects.
  • D. Nakamura Masanao
    Nakamura Masanao was a prominent Meiji-era Japanese scholar and educator known for introducing Western philosophy and liberal thought to Japan through his translations and writings.
  • E. Shigeru Nakamura
    Shigeru Nakamura is a Japanese name shared by several individuals, most notably a professional shogi player and other figures in Japanese culture and academia.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907835448190aa4fc234d15527c3 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.