Triple

T3190440
Position Surface form Disambiguated ID Type / Status
Subject Katō Tomosaburō E66808 entity
Predicate nativeName P15 FINISHED
Object 加藤 友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
E336614 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: 加藤 友三郎 | Statement: [Katō Tomosaburō, nativeName, 加藤 友三郎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 加藤 友三郎
Context triple: [Katō Tomosaburō, nativeName, 加藤 友三郎]
  • A. 山田 乙三
    山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
  • B. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • C. 本間雅晴
    本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
  • D. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • E. 松井 石根
    松井石根 was a Japanese Imperial Army general during the Second Sino-Japanese War who was later convicted as a war criminal for his role in the Nanjing Massacre.
  • 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: 加藤 友三郎
Triple: [Katō Tomosaburō, nativeName, 加藤 友三郎]
Generated description
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 加藤 友三郎
Target entity description: 加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
  • A. 山田 乙三
    山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
  • B. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • C. 本間雅晴
    本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
  • D. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • E. 松井 石根
    松井石根 was a Japanese Imperial Army general during the Second Sino-Japanese War who was later convicted as a war criminal for his role in the Nanjing Massacre.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e7d0d081908b1c36bb909a58bf completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d677ca8819094cb03360ac885da completed March 12, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:07 p.m.