Triple

T6492661
Position Surface form Disambiguated ID Type / Status
Subject Makoto Kobayashi E148078 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: [Makoto Kobayashi, awardReceived, Asahi Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asahi Prize
Context triple: [Makoto Kobayashi, 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.