Triple

T13646826
Position Surface form Disambiguated ID Type / Status
Subject Toshi Yoshida E326124 entity
Predicate nativeName P15 FINISHED
Object 吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
E1053752 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: 吉田遠志 | Statement: [Toshi Yoshida, nativeName, 吉田遠志]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 吉田遠志
Context triple: [Toshi Yoshida, nativeName, 吉田遠志]
  • A. 吉田健一
    吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
  • B. 嶋田繁太郎
    嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
  • C. 斎藤秀雄
    斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
  • D. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • E. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • 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: 吉田遠志
Triple: [Toshi Yoshida, nativeName, 吉田遠志]
Generated description
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 吉田遠志
Target entity description: 吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • A. 吉田健一
    吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
  • B. 嶋田繁太郎
    嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
  • C. 斎藤秀雄
    斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
  • D. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • E. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:52 p.m.