Triple

T18578735
Position Surface form Disambiguated ID Type / Status
Subject Reset E454051 entity
Predicate mainCharacter P1183 FINISHED
Object Toshiko Sato 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: Toshiko Sato | Statement: [Reset, mainCharacter, Toshiko Sato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toshiko Sato
Context triple: [Reset, mainCharacter, Toshiko Sato]
  • A. Toshiko Sato chosen
    Toshiko Sato is a brilliant and introverted technical expert and doctor in the British science-fiction series Torchwood, known for her skills in alien technology and her emotional depth.
  • B. Toshiko Soma
    Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
  • C. Shigeko Sasaki
    Shigeko Sasaki is a Japanese individual known primarily for sharing the given name Shigeko, though specific widely recognized public achievements or roles under this name are not well documented.
  • D. Yoshiko Tanaka
    Yoshiko Tanaka was a Japanese actress known for her versatile film and television roles, including appearances in major genre films and acclaimed dramas.
  • E. Jitsuko Yoshimura
    Jitsuko Yoshimura is a Japanese actress known for her roles in classic films of the 1960s and 1970s, including works by prominent directors such as Akira Kurosawa.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543ce63188190b14a37c5ca9c2726 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.