Triple

T17813028
Position Surface form Disambiguated ID Type / Status
Subject Akira Satō E444760 entity
Predicate sharesNameWith P15168 FINISHED
Object Akira Satō (ski jumper)
Akira Satō (ski jumper) is a Japanese ski jumper known for competing internationally in ski jumping events.
 E1289681 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: Akira Satō (ski jumper) | Statement: [Akira Satō, sharesNameWith, Akira Satō (ski jumper)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akira Satō (ski jumper)
Context triple: [Akira Satō, sharesNameWith, Akira Satō (ski jumper)]
  • A. Akira Ohno
    Akira Ohno is a Japanese chemist renowned for his contributions to polymer science and materials chemistry.
  • B. Yukiya Sato
    Yukiya Sato is a Japanese ski jumper who competes at the international level, including World Cup events and major championships, as a member of Japan’s national team.
  • C. Koji Ohno
    Koji Ohno is a Japanese individual notable enough to be recognized as a distinct namesake of the surname Ohno.
  • D. Yoshitaka Ohno
    Yoshitaka Ohno is a Japanese mathematician known for his work in number theory, particularly in the study of multiple zeta values.
  • E. Kei Satō
    Kei Satō is a Japanese politician and member of the House of Councillors known for his involvement in contemporary national politics.
  • 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: Akira Satō (ski jumper)
Triple: [Akira Satō, sharesNameWith, Akira Satō (ski jumper)]
Generated description
Akira Satō (ski jumper) is a Japanese ski jumper known for competing internationally in ski jumping events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akira Satō (ski jumper)
Target entity description: Akira Satō (ski jumper) is a Japanese ski jumper known for competing internationally in ski jumping events.
  • A. Akira Ohno
    Akira Ohno is a Japanese chemist renowned for his contributions to polymer science and materials chemistry.
  • B. Yukiya Sato
    Yukiya Sato is a Japanese ski jumper who competes at the international level, including World Cup events and major championships, as a member of Japan’s national team.
  • C. Koji Ohno
    Koji Ohno is a Japanese individual notable enough to be recognized as a distinct namesake of the surname Ohno.
  • D. Yoshitaka Ohno
    Yoshitaka Ohno is a Japanese mathematician known for his work in number theory, particularly in the study of multiple zeta values.
  • E. Kei Satō
    Kei Satō is a Japanese politician and member of the House of Councillors known for his involvement in contemporary national politics.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887c63608190b29a407cabff0bc5 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6254308190837052cba58d45c8 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a0300aa8f2c8190adb9ed9ec63a9f9a completed May 12, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0301570f188190a330b2a9f5f45191 completed May 12, 2026, 10:30 a.m.
Created at: April 10, 2026, 10:14 a.m.