Triple

T5718230
Position Surface form Disambiguated ID Type / Status
Subject Kenzo E126072 entity
Predicate hasNotableBearer P458 FINISHED
Object Kenzo Yashima
Kenzo Yashima is a person notable for bearing the Japanese given name Kenzo.
E848770 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: Kenzo Yashima | Statement: [Kenzo, hasNotableBearer, Kenzo Yashima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenzo Yashima
Context triple: [Kenzo, hasNotableBearer, Kenzo Yashima]
  • A. Kenzo Nakamura
    Kenzo Nakamura is a Japanese judoka and Olympic gold medalist known for his achievements in the lightweight divisions during the 1990s.
  • B. Kenzō Saeki
    Kenzō Saeki is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Kenzo.
  • C. Yosuke Kubozuka
    Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
  • D. Toshio Kashio
    Toshio Kashio was a Japanese engineer and entrepreneur best known as one of the co-founders of Casio, a pioneering company in electronic calculators and consumer electronics.
  • E. Ryoji Noyori
    Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications 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: Kenzo Yashima
Triple: [Kenzo, hasNotableBearer, Kenzo Yashima]
Generated description
Kenzo Yashima is a person notable for bearing the Japanese given name Kenzo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kenzo Yashima
Target entity description: Kenzo Yashima is a person notable for bearing the Japanese given name Kenzo.
  • A. Kenzo Nakamura
    Kenzo Nakamura is a Japanese judoka and Olympic gold medalist known for his achievements in the lightweight divisions during the 1990s.
  • B. Kenzō Saeki
    Kenzō Saeki is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Kenzo.
  • C. Yosuke Kubozuka
    Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
  • D. Toshio Kashio
    Toshio Kashio was a Japanese engineer and entrepreneur best known as one of the co-founders of Casio, a pioneering company in electronic calculators and consumer electronics.
  • E. Ryoji Noyori
    Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4d14df7888190aadd3f506b6b4cd2 completed April 7, 2026, 9:41 a.m.
NEDg Description generation batch_69d4d208f1188190bb5c746aec753168 completed April 7, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69d4d2840b908190bb071e37a6be34cd completed April 7, 2026, 9:46 a.m.
Created at: March 22, 2026, 3:46 p.m.