Triple

T12366661
Position Surface form Disambiguated ID Type / Status
Subject If My Heart Had Wings E294889 entity
Predicate hasMainCharacter P1183 FINISHED
Object Yoru Kazato E994997 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: Yoru Kazato | Statement: [If My Heart Had Wings, hasMainCharacter, Yoru Kazato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoru Kazato
Context triple: [If My Heart Had Wings, hasMainCharacter, Yoru Kazato]
  • A. Asa Kazato chosen
    Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
  • B. Kodama Kazuto
    Kodama Kazuto is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Kodama.
  • C. Kodama Ryo
    Kodama Ryo is a Japanese individual notable for bearing the surname Kodama, though detailed public information about their specific achievements or profession is limited.
  • D. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • E. Kanaya Hanzo
    Kanaya Hanzo was a Japanese general who rose to the top of the Imperial Japanese Army’s leadership during the early 20th century.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671837a5c81908a7f41ac7e2bef59 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:54 p.m.