Triple

T1695061
Position Surface form Disambiguated ID Type / Status
Subject Toyomichi Kurita E36637 entity
Predicate nameInNativeLanguage P1435 FINISHED
Object 栗田 豊道
栗田豊道は、日本の書道界で活躍した書家・教育者として知られる人物です。
 E191569 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: 栗田 豊道 | Statement: [Toyomichi Kurita, nameInNativeLanguage, 栗田 豊道]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 栗田 豊道
Context triple: [Toyomichi Kurita, nameInNativeLanguage, 栗田 豊道]
  • A. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • B. Hasegawa Yoshimichi
    Hasegawa Yoshimichi was a Japanese colonial administrator who served in a prominent governmental role in Taiwan during the period of Japanese rule.
  • C. Saburō Kurusu
    Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
  • D. Yamaguchi Naoyoshi
    Yamaguchi Naoyoshi was a Japanese statesman of the early Meiji era who took part in Japan’s modernization efforts, including its landmark diplomatic and study tour abroad.
  • E. Mutaguchi Renya
    Mutaguchi Renya was a Japanese general best known for commanding the ill-fated Imphal offensive in Burma during World War II.
  • 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: 栗田 豊道
Triple: [Toyomichi Kurita, nameInNativeLanguage, 栗田 豊道]
Generated description
栗田豊道は、日本の書道界で活躍した書家・教育者として知られる人物です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 栗田 豊道
Target entity description: 栗田豊道は、日本の書道界で活躍した書家・教育者として知られる人物です。
  • A. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • B. Hasegawa Yoshimichi
    Hasegawa Yoshimichi was a Japanese colonial administrator who served in a prominent governmental role in Taiwan during the period of Japanese rule.
  • C. Saburō Kurusu
    Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
  • D. Yamaguchi Naoyoshi
    Yamaguchi Naoyoshi was a Japanese statesman of the early Meiji era who took part in Japan’s modernization efforts, including its landmark diplomatic and study tour abroad.
  • E. Mutaguchi Renya
    Mutaguchi Renya was a Japanese general best known for commanding the ill-fated Imphal offensive in Burma during World War II.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7998e1108190aa7430cd4ef887d9 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7a224d248190b0d1a7f70b76c164 completed March 8, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b4b4a208190966fa07a6f0d626e completed March 8, 2026, 1:36 p.m.
Created at: March 4, 2026, 7:30 p.m.