Triple

T3877553
Position Surface form Disambiguated ID Type / Status
Subject Satō E92538 entity
Predicate hasNotableBearer P458 FINISHED
Object Koichi Satō
Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
 E688902 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: Koichi Satō | Statement: [Satō, hasNotableBearer, Koichi Satō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koichi Satō
Context triple: [Satō, hasNotableBearer, Koichi Satō]
  • A. Toshio Satō
    Toshio Satō is a Japanese individual notable enough to be specifically cited as a bearer of the surname Satō.
  • B. Masahiko Satō
    Masahiko Satō is a Japanese jazz pianist and composer known for his innovative, avant-garde contributions to the postwar Japanese jazz scene.
  • C. Yoshinori Satō
    Yoshinori Satō is a Japanese professional baseball pitcher known for his career in Nippon Professional Baseball (NPB), particularly with the Tokyo Yakult Swallows.
  • D. Koichi Hayashida
    Koichi Hayashida is a Japanese video game designer best known for his prominent work on Nintendo’s Super Mario series, particularly the 3D platformer entries.
  • E. Shigeo Nagashima
    Shigeo Nagashima is a legendary Japanese baseball player and manager, widely regarded as one of the greatest figures in Nippon Professional Baseball history.
  • 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: Koichi Satō
Triple: [Satō, hasNotableBearer, Koichi Satō]
Generated description
Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koichi Satō
Target entity description: Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
  • A. Toshio Satō
    Toshio Satō is a Japanese individual notable enough to be specifically cited as a bearer of the surname Satō.
  • B. Masahiko Satō
    Masahiko Satō is a Japanese jazz pianist and composer known for his innovative, avant-garde contributions to the postwar Japanese jazz scene.
  • C. Yoshinori Satō
    Yoshinori Satō is a Japanese professional baseball pitcher known for his career in Nippon Professional Baseball (NPB), particularly with the Tokyo Yakult Swallows.
  • D. Koichi Hayashida
    Koichi Hayashida is a Japanese video game designer best known for his prominent work on Nintendo’s Super Mario series, particularly the 3D platformer entries.
  • E. Shigeo Nagashima
    Shigeo Nagashima is a legendary Japanese baseball player and manager, widely regarded as one of the greatest figures in Nippon Professional Baseball history.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e55a6d848190856460c45374c629 completed March 29, 2026, 8:39 a.m.
NEDg Description generation batch_69c8e7b00ac0819098905a7653fa4699 completed March 29, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69c8e7fce2908190b7577a528292ce63 completed March 29, 2026, 8:51 a.m.
Created at: March 9, 2026, 3:20 p.m.