Triple

T22109029
Position Surface form Disambiguated ID Type / Status
Subject Kenzo Kitakata E546365 entity
Predicate awardReceived P11 FINISHED
Object Naoki Prize 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: Naoki Prize | Statement: [Kenzo Kitakata, awardReceived, Naoki Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naoki Prize
Context triple: [Kenzo Kitakata, awardReceived, Naoki Prize]
  • A. Naoki Prize chosen
    The Naoki Prize is a prestigious Japanese literary award given semiannually to outstanding works of popular fiction.
  • B. Asahi Prize
    The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
  • C. Seiun Award
    The Seiun Award is a prestigious Japanese science fiction honor recognizing outstanding works and achievements in the genre, often likened to Japan’s equivalent of the Hugo Awards.
  • D. Tanizaki Prize
    The Tanizaki Prize is a prestigious Japanese literary award given annually for outstanding works of fiction or drama.
  • 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 (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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291b9c988190b3ddd06d1f40dc78 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.