Triple

T14337237
Position Surface form Disambiguated ID Type / Status
Subject Kunihiko Kodaira E355495 entity
Predicate awardReceived P11 FINISHED
Object Japan Academy Prize E240323 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: Japan Academy Prize | Statement: [Kunihiko Kodaira, awardReceived, Japan Academy Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Academy Prize
Context triple: [Kunihiko Kodaira, awardReceived, Japan Academy Prize]
  • A. Japan Academy Prize chosen
    The Japan Academy Prize is a prestigious Japanese award presented by the Japan Academy to honor outstanding achievements in academic research and scholarship.
  • B. Asahi Prize
    The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
  • C. Tanizaki Prize
    The Tanizaki Prize is a prestigious Japanese literary award given annually for outstanding works of fiction or drama.
  • D. Japan Prize
    The Japan Prize is a prestigious international award that honors significant contributions to science and technology that promote peace and prosperity for humanity.
  • E. Akutagawa Prize
    The Akutagawa Prize is one of Japan’s most prestigious literary awards, given biannually to emerging authors of serious fiction.
  • 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_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.