Triple

T14337239
Position Surface form Disambiguated ID Type / Status
Subject Kunihiko Kodaira E355495 entity
Predicate awardReceived P11 FINISHED
Object Asahi Prize E185900 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: Asahi Prize | Statement: [Kunihiko Kodaira, awardReceived, Asahi Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asahi Prize
Context triple: [Kunihiko Kodaira, awardReceived, Asahi Prize]
  • A. Asahi Prize chosen
    The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
  • B. Yomiuri Prize for Literature
    The Yomiuri Prize for Literature is a prestigious Japanese literary award established by the Yomiuri Shimbun to honor outstanding works of fiction, drama, poetry, criticism, and scholarship.
  • C. Akutagawa Prize
    The Akutagawa Prize is one of Japan’s most prestigious literary awards, given biannually to emerging authors of serious fiction.
  • D. Tanizaki Prize
    The Tanizaki Prize is a prestigious Japanese literary award given annually for outstanding works of fiction or drama.
  • E. Japan Academy Prize
    The Japan Academy Prize is a prestigious Japanese award presented by the Japan Academy to honor outstanding achievements in academic research and scholarship.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c2241e48190a0c626b3d741966a completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3f81e881909f742d0442e99dd6 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.