Triple

T19049102
Position Surface form Disambiguated ID Type / Status
Subject 杉本博司 E466211 entity
Predicate education P5 FINISHED
Object セントポール大学(上智大学短期在学)
セントポール大学(上智大学短期在学)は、写真家・杉本博司が短期在学したことで知られる、上智大学関連の教育機関である。
E1356479 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: セントポール大学(上智大学短期在学) | Statement: [杉本博司, education, セントポール大学(上智大学短期在学)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: セントポール大学(上智大学短期在学)
Context triple: [杉本博司, education, セントポール大学(上智大学短期在学)]
  • A. 東京大学公共政策大学院
    東京大学公共政策大学院 is the University of Tokyo’s graduate school specializing in public policy education and research, training professionals for careers in government, international organizations, and related fields.
  • B. 学校法人近畿大学
    学校法人近畿大学は、大阪府を中心に近畿大学などの学校を運営する日本の私立学校法人です。
  • C. Keio University Faculty of Business and Commerce
    Keio University Faculty of Business and Commerce is a leading Japanese academic division of Keio University specializing in business, economics, and commerce education and research.
  • D. 東京帝国大学
    東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
  • E. 京都帝国大学
    京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
  • 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: セントポール大学(上智大学短期在学)
Triple: [杉本博司, education, セントポール大学(上智大学短期在学)]
Generated description
セントポール大学(上智大学短期在学)は、写真家・杉本博司が短期在学したことで知られる、上智大学関連の教育機関である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: セントポール大学(上智大学短期在学)
Target entity description: セントポール大学(上智大学短期在学)は、写真家・杉本博司が短期在学したことで知られる、上智大学関連の教育機関である。
  • A. 東京大学公共政策大学院
    東京大学公共政策大学院 is the University of Tokyo’s graduate school specializing in public policy education and research, training professionals for careers in government, international organizations, and related fields.
  • B. 学校法人近畿大学
    学校法人近畿大学は、大阪府を中心に近畿大学などの学校を運営する日本の私立学校法人です。
  • C. Keio University Faculty of Business and Commerce
    Keio University Faculty of Business and Commerce is a leading Japanese academic division of Keio University specializing in business, economics, and commerce education and research.
  • D. 東京帝国大学
    東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
  • E. 京都帝国大学
    京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8062ea481908cf3fcb790a74956 completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c551e26c8190928642f451cb85f0 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7645d6c8190bd4d16b234c3384b completed May 14, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a05c7c6e4148190bbdafd47ce2bdef4 completed May 14, 2026, 1:01 p.m.
Created at: April 10, 2026, 12:03 p.m.