Triple

T8382724
Position Surface form Disambiguated ID Type / Status
Subject Rafael Arutyunyan E197733 entity
Predicate notableStudent P4838 FINISHED
Object Mao Asada E719988 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: Mao Asada | Statement: [Rafael Arutyunyan, notableStudent, Mao Asada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Asada
Context triple: [Rafael Arutyunyan, notableStudent, Mao Asada]
  • A. Mao Asada chosen
    Mao Asada is a retired Japanese figure skater renowned for her triple Axel, multiple World Championship titles, and status as one of the sport’s most influential athletes.
  • B. Kiko Mizuhara
    Kiko Mizuhara is a Japanese-American model, actress, and designer known for her prominent work in fashion and film, as well as her influence in contemporary Japanese pop culture.
  • C. Kaho Shimada
    Kaho Shimada is a Japanese actress and singer best known internationally for her acclaimed stage performances in musical theatre, particularly in productions of Les Misérables.
  • D. Yosaki Takahashi
    Yosaki Takahashi is a Japanese politician who serves as the mayor of Kawagoe in Saitama Prefecture.
  • E. Yuki Nagasato
    Yuki Nagasato is a Japanese professional footballer and World Cup–winning forward renowned for her prolific international career and success in top women’s leagues in Japan, Germany, and the United States.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80ddc0f08190a90d4d9070bf713b completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d016c8b6f0819084d14fec00aad335 completed April 3, 2026, 7:36 p.m.
Created at: March 30, 2026, 6:02 p.m.