Triple

T17860887
Position Surface form Disambiguated ID Type / Status
Subject Gamera 3: Revenge of Iris E446067 entity
Predicate stars P1956 FINISHED
Object Ayako Fujitani 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: Ayako Fujitani | Statement: [Gamera 3: Revenge of Iris, stars, Ayako Fujitani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayako Fujitani
Context triple: [Gamera 3: Revenge of Iris, stars, Ayako Fujitani]
  • A. Ayako Fujitani chosen
    Ayako Fujitani is a Japanese actress and writer, known for her roles in genre and independent films as well as being the daughter of actor Steven Seagal.
  • B. Miyako Fujitani
    Miyako Fujitani is a Japanese aikido instructor and former actress best known as Steven Seagal’s first wife and a key figure in his early martial arts career in Japan.
  • C. Akiko Yoshida
    Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
  • D. Akiko Yoshida
    Akiko Yoshida is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • E. Mie Fukuda
    Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.