Triple

T22915445
Position Surface form Disambiguated ID Type / Status
Subject Jigoro Kano E568723 entity
Predicate givenName P17 FINISHED
Object Jigoro
Jigoro is the given name of Jigoro Kano, the Japanese educator and martial artist who founded judo.
 E1561014 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: Jigoro | Statement: [Jigoro Kano, givenName, Jigoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jigoro
Context triple: [Jigoro Kano, givenName, Jigoro]
  • A. Jōhei
    Jōhei was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Suzaku.
  • B. Daisuke Ryū
    Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
  • C. Kotoku Sato
    Kotoku Sato was a Japanese lieutenant general in World War II who led the 31st Division during the Burma Campaign, including the ill-fated offensive toward Kohima in India.
  • D. Saigō Jūdō
    Saigō Jūdō was a Meiji-era Japanese statesman and military leader from the influential Saigō clan who played a key role in the early Imperial Japanese government.
  • E. Ikujiro
    Ikujiro is a Japanese organizational theorist best known for his work on knowledge management and the SECI model of knowledge creation.
  • 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: Jigoro
Triple: [Jigoro Kano, givenName, Jigoro]
Generated description
Jigoro is the given name of Jigoro Kano, the Japanese educator and martial artist who founded judo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jigoro
Target entity description: Jigoro is the given name of Jigoro Kano, the Japanese educator and martial artist who founded judo.
  • A. Jōhei
    Jōhei was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Suzaku.
  • B. Daisuke Ryū
    Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
  • C. Kotoku Sato
    Kotoku Sato was a Japanese lieutenant general in World War II who led the 31st Division during the Burma Campaign, including the ill-fated offensive toward Kohima in India.
  • D. Saigō Jūdō
    Saigō Jūdō was a Meiji-era Japanese statesman and military leader from the influential Saigō clan who played a key role in the early Imperial Japanese government.
  • E. Ikujiro
    Ikujiro is a Japanese organizational theorist best known for his work on knowledge management and the SECI model of knowledge creation.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18079217481908db98882929ac69a completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9d345e88190a04f7afa7b14ab41 completed May 19, 2026, 1:16 a.m.
NEDg Description generation batch_6a0bba89d5d88190b3268c5f16273a56 completed May 19, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbaefea888190bed91a067d771438 completed May 19, 2026, 1:20 a.m.
Created at: April 17, 2026, 3:42 p.m.