Triple

T23038596
Position Surface form Disambiguated ID Type / Status
Subject Kyokushin karate E573674 entity
Predicate associatedOrganization P37 FINISHED
Object IKO Matsui
IKO Matsui is a major international Kyokushin karate organization led by Shokei Matsui, known for promoting full-contact karate training and competitions worldwide.
E1567438 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: IKO Matsui | Statement: [Kyokushin karate, associatedOrganization, IKO Matsui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKO Matsui
Context triple: [Kyokushin karate, associatedOrganization, IKO Matsui]
  • A. Yūki Matsui
    Yūki Matsui is a Japanese professional baseball pitcher known for his success as a closer in Nippon Professional Baseball and his move to Major League Baseball.
  • B. Kenta Matsui
    Kenta Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Matsui.
  • C. Kenji Matsui
    Kenji Matsui is a Japanese individual notable enough to be specifically cited as a bearer of the Matsui surname.
  • D. Yūta Matsui
    Yūta Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
  • E. Yasuo Matsui
    Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
  • 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: IKO Matsui
Triple: [Kyokushin karate, associatedOrganization, IKO Matsui]
Generated description
IKO Matsui is a major international Kyokushin karate organization led by Shokei Matsui, known for promoting full-contact karate training and competitions worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IKO Matsui
Target entity description: IKO Matsui is a major international Kyokushin karate organization led by Shokei Matsui, known for promoting full-contact karate training and competitions worldwide.
  • A. Yūki Matsui
    Yūki Matsui is a Japanese professional baseball pitcher known for his success as a closer in Nippon Professional Baseball and his move to Major League Baseball.
  • B. Kenta Matsui
    Kenta Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Matsui.
  • C. Kenji Matsui
    Kenji Matsui is a Japanese individual notable enough to be specifically cited as a bearer of the Matsui surname.
  • D. Yūta Matsui
    Yūta Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
  • E. Yasuo Matsui
    Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185121da0819095b523d7d2c923ab completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2ba6cd48190adfde89532b51f43 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0c0332a0288190a51b29aa03e1969a completed May 19, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0c04d4722c8190967b59808f6c1e36 completed May 19, 2026, 6:36 a.m.
Created at: April 17, 2026, 3:53 p.m.