Triple

T9893197
Position Surface form Disambiguated ID Type / Status
Subject Akutagawa Prize E181504 entity
Predicate distinguishedFrom P1612 FINISHED
Object Naoki Prize E828513 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: Naoki Prize | Statement: [Akutagawa Prize, distinguishedFrom, Naoki Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naoki Prize
Context triple: [Akutagawa Prize, distinguishedFrom, 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 (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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.