Triple

T5521091
Position Surface form Disambiguated ID Type / Status
Subject Hideki Shirakawa E144808 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: [Hideki Shirakawa, awardReceived, Japan Academy Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Academy Prize
Context triple: [Hideki Shirakawa, 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7227a8819080c9f074afe0eaac completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027ee724c819086b92ea127961e09 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.