Triple

T18132268
Position Surface form Disambiguated ID Type / Status
Subject Chiaki Mukai E434042 entity
Predicate name P16 FINISHED
Object Chiaki Mukai 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: Chiaki Mukai | Statement: [Chiaki Mukai, name, Chiaki Mukai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiaki Mukai
Context triple: [Chiaki Mukai, name, Chiaki Mukai]
  • A. Chiaki Mukai chosen
    Chiaki Mukai is a Japanese physician and astronaut who became the first Japanese woman to fly in space and a veteran of two NASA Space Shuttle missions.
  • B. Chiaki Homma
    Chiaki Homma is a Japanese individual known primarily for sharing the Homma surname, though publicly available information about their specific achievements or profession is limited.
  • C. Minoru Chiaki
    Minoru Chiaki was a Japanese actor best known for his frequent collaborations with director Akira Kurosawa in classic films such as Seven Samurai.
  • D. Takako Tokiwa
    Takako Tokiwa is a Japanese actress known for her prominent roles in television dramas and films since the 1990s.
  • E. Takako Kiyota
    Takako Kiyota is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Takako.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf2c68881909dfbe59df15ddccc completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.