Triple

T3401435
Position Surface form Disambiguated ID Type / Status
Subject Itō Hirobumi E71660 entity
Predicate nativeName P15 FINISHED
Object 伊藤 博文
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
E356012 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: 伊藤 博文 | Statement: [Itō Hirobumi, nativeName, 伊藤 博文]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 伊藤 博文
Context triple: [Itō Hirobumi, nativeName, 伊藤 博文]
  • A. 伊藤 清
    伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
  • B. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • C. 村上宗隆
    村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
  • D. 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.
  • E. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • 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: 伊藤 博文
Triple: [Itō Hirobumi, nativeName, 伊藤 博文]
Generated description
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 伊藤 博文
Target entity description: 伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
  • A. 伊藤 清
    伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
  • B. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • C. 村上宗隆
    村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
  • D. 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.
  • E. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c96d7c8190a1f9d035996f79e3 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd2f8a481908554635ed59c8939 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.