Triple

T15724047
Position Surface form Disambiguated ID Type / Status
Subject Matome Ugaki E381176 entity
Predicate nativeName P15 FINISHED
Object 宇垣纏
宇垣纏 is a Japanese individual best known under the romanized name Matome Ugaki, likely recognized in contexts where Japanese and international references intersect.
E1173221 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: 宇垣纏 | Statement: [Matome Ugaki, nativeName, 宇垣纏]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 宇垣纏
Context triple: [Matome Ugaki, nativeName, 宇垣纏]
  • A. Takamoto Katsuta
    Takamoto Katsuta is a Japanese rally driver who competes at the top level of the World Rally Championship with the Toyota Gazoo Racing team.
  • B. Kaoru Ushijima
    Kaoru Ushijima is a Japanese individual notable enough to be recognized as a namesake of the surname Ushijima.
  • C. Itagaki Taisuke
    Itagaki Taisuke was a leading 19th-century Japanese politician and liberal activist who championed constitutional government and civil rights during the Meiji era.
  • D. Kodama Tetsuya
    Kodama Tetsuya is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
  • E. 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。
  • 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: 宇垣纏
Triple: [Matome Ugaki, nativeName, 宇垣纏]
Generated description
宇垣纏 is a Japanese individual best known under the romanized name Matome Ugaki, likely recognized in contexts where Japanese and international references intersect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 宇垣纏
Target entity description: 宇垣纏 is a Japanese individual best known under the romanized name Matome Ugaki, likely recognized in contexts where Japanese and international references intersect.
  • A. Takamoto Katsuta
    Takamoto Katsuta is a Japanese rally driver who competes at the top level of the World Rally Championship with the Toyota Gazoo Racing team.
  • B. Kaoru Ushijima
    Kaoru Ushijima is a Japanese individual notable enough to be recognized as a namesake of the surname Ushijima.
  • C. Itagaki Taisuke
    Itagaki Taisuke was a leading 19th-century Japanese politician and liberal activist who championed constitutional government and civil rights during the Meiji era.
  • D. Kodama Tetsuya
    Kodama Tetsuya is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
  • E. 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。
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff841373748190bed81305ca02cb9b completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:46 a.m.