Triple

T17436976
Position Surface form Disambiguated ID Type / Status
Subject Scandal E424023 entity
Predicate castMember P1668 FINISHED
Object Minoru Chiaki E1371938 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: Minoru Chiaki | Statement: [Scandal, castMember, Minoru Chiaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minoru Chiaki
Context triple: [Scandal, castMember, Minoru Chiaki]
  • A. Minoru Chiaki chosen
    Minoru Chiaki was a Japanese actor best known for his frequent collaborations with director Akira Kurosawa in classic films such as Seven Samurai.
  • B. Chiaki Mukai
    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.
  • C. Chieko Nakakita
    Chieko Nakakita was a Japanese actress known for her roles in mid-20th-century Japanese cinema, including collaborations with prominent directors such as Akira Kurosawa.
  • D. Takako Kawai
    Takako Kawai is a Japanese mathematician known for her work in algebraic analysis and microlocal analysis.
  • 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 (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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff468a08190bdc5cebb8162b4ba completed April 19, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08550c5ef481908d07d8e56ff91058 completed May 16, 2026, 11:29 a.m.
Created at: April 10, 2026, 5:46 a.m.