Triple

T8919236
Position Surface form Disambiguated ID Type / Status
Subject Suzuki E212368 entity
Predicate hasNotableBearer P458 FINISHED
Object Yuki Suzuki
Yuki Suzuki is a Japanese given name shared by several notable individuals, including athletes and entertainers.
E766464 NE FINISHED

How this triple was built (4 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: Yuki Suzuki | Statement: [Suzuki, hasNotableBearer, Yuki Suzuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuki Suzuki
Context triple: [Suzuki, hasNotableBearer, Yuki Suzuki]
  • A. Yuko Tanaka
    Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
  • B. Ikue Ōtani
    Ikue Ōtani is a Japanese voice actress best known for providing the iconic voice of Pikachu in the Pokémon franchise.
  • C. 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.
  • D. Norichika Aoki
    Norichika Aoki is a Japanese professional baseball outfielder known for his successful career in Nippon Professional Baseball and Major League Baseball, including All-Star appearances and batting titles.
  • E. Akira Suzuki
    Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuki Suzuki
Triple: [Suzuki, hasNotableBearer, Yuki Suzuki]
Generated description
Yuki Suzuki is a Japanese given name shared by several notable individuals, including athletes and entertainers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yuki Suzuki
Target entity description: Yuki Suzuki is a Japanese given name shared by several notable individuals, including athletes and entertainers.
  • A. Yuko Tanaka
    Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
  • B. Ikue Ōtani
    Ikue Ōtani is a Japanese voice actress best known for providing the iconic voice of Pikachu in the Pokémon franchise.
  • C. 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.
  • D. Norichika Aoki
    Norichika Aoki is a Japanese professional baseball outfielder known for his successful career in Nippon Professional Baseball and Major League Baseball, including All-Star appearances and batting titles.
  • E. Akira Suzuki
    Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
  • F. None of above. chosen

Provenance (5 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6613639881909090d060f388a865 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbb35869c8190a75ddf6627667623 completed April 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb9585688190b3aa3d817bafba51 completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:56 p.m.