Triple

T16424740
Position Surface form Disambiguated ID Type / Status
Subject Naoko Satō E398912 entity
Predicate orthographicVariant P33995 FINISHED
Object Naoko Satou 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: Naoko Satou | Statement: [Naoko Satō, orthographicVariant, Naoko Satou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naoko Satou
Context triple: [Naoko Satō, orthographicVariant, Naoko Satou]
  • A. Michiru Ōshima
    Michiru Ōshima is a Japanese composer renowned for her orchestral and soundtrack work across anime, film, and video games.
  • B. Naoko Sato chosen
    Naoko Sato is a Japanese given name that may refer to multiple individuals, including professionals in fields such as sports, entertainment, or academia.
  • C. Miki Satō
    Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
  • D. Naoko Yamazaki
    Naoko Yamazaki is a Japanese engineer and former JAXA astronaut who flew aboard NASA's Space Shuttle Discovery on the STS-131 mission to the International Space Station.
  • E. Okamura Yoko
    Okamura Yoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f9da9081908dadbdac4b2d38ec completed April 18, 2026, 6:47 a.m.
Created at: April 10, 2026, 5:09 a.m.