Triple

T4451666
Position Surface form Disambiguated ID Type / Status
Subject Haruki Murakami E97620 entity
Predicate awardReceived P11 FINISHED
Object Tanizaki Prize E183223 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: Tanizaki Prize | Statement: [Haruki Murakami, awardReceived, Tanizaki Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanizaki Prize
Context triple: [Haruki Murakami, awardReceived, Tanizaki Prize]
  • A. Tanizaki Prize chosen
    The Tanizaki Prize is a prestigious Japanese literary award given annually for outstanding works of fiction or drama.
  • B. Akutagawa Prize
    The Akutagawa Prize is one of Japan’s most prestigious literary awards, given biannually to emerging authors of serious fiction.
  • C. Asahi Prize
    The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
  • D. 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.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f3731c81909cc5a782b12ddd38 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138b6c8c8190a21ad00fb230c0f0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:33 p.m.