Triple

T9893191
Position Surface form Disambiguated ID Type / Status
Subject Akutagawa Prize E181504 entity
Predicate sponsor P67 FINISHED
Object Bungeishunjū E828512 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: Bungeishunjū | Statement: [Akutagawa Prize, sponsor, Bungeishunjū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungeishunjū
Context triple: [Akutagawa Prize, sponsor, Bungeishunjū]
  • A. Bungeishunjū chosen
    Bungeishunjū is a major Japanese publishing company known for its influential literary magazines and prestigious literary awards.
  • B. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • C. Tanaka-ha
    Tanaka-ha is a Japanese political faction associated with influential postwar Liberal Democratic Party leader Kakuei Tanaka and his supporters.
  • D. Shōsōin
    Shōsōin is an ancient imperial treasure house in Nara, Japan, renowned for its exceptionally well-preserved collection of art and artifacts from the Nara period and the Silk Road.
  • E. Bunka-kunshō
    Bunka-kunshō is a prestigious Japanese honor awarded by the government to individuals who have made outstanding contributions to culture, the arts, and academia.
  • 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.