Triple

T12064672
Position Surface form Disambiguated ID Type / Status
Subject Kishi E287263 entity
Predicate hasNotableBearer P458 FINISHED
Object Tetsuo Kishi
Tetsuo Kishi is a Japanese individual notable enough to be recognized as a bearer of the surname Kishi, though detailed public information about his specific achievements is limited.
E1418945 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: Tetsuo Kishi | Statement: [Kishi, hasNotableBearer, Tetsuo Kishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetsuo Kishi
Context triple: [Kishi, hasNotableBearer, Tetsuo Kishi]
  • A. Yūji Kishi
    Yūji Kishi is a Japanese actor and voice actor known for his roles in anime, video games, and tokusatsu productions.
  • B. Makoto Kishi
    Makoto Kishi is a person notable enough to be specifically cited as a bearer of the surname Kishi.
  • C. Tatsuhiko Kawashima
    Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
  • D. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • E. Kazuhiko Kishi
    Kazuhiko Kishi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kishi.
  • 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: Tetsuo Kishi
Triple: [Kishi, hasNotableBearer, Tetsuo Kishi]
Generated description
Tetsuo Kishi is a Japanese individual notable enough to be recognized as a bearer of the surname Kishi, though detailed public information about his specific achievements is limited.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tetsuo Kishi
Target entity description: Tetsuo Kishi is a Japanese individual notable enough to be recognized as a bearer of the surname Kishi, though detailed public information about his specific achievements is limited.
  • A. Yūji Kishi
    Yūji Kishi is a Japanese actor and voice actor known for his roles in anime, video games, and tokusatsu productions.
  • B. Makoto Kishi
    Makoto Kishi is a person notable enough to be specifically cited as a bearer of the surname Kishi.
  • C. Tatsuhiko Kawashima
    Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
  • D. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • E. Kazuhiko Kishi
    Kazuhiko Kishi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kishi.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b6ee5788190abc51a6ee4123ba3 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084be2bcc88190b7d369c07da59c11 completed May 16, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a084c99487c81908dd132f118846f0c completed May 16, 2026, 10:53 a.m.
Created at: April 8, 2026, 9:48 p.m.