Triple

T17116084
Position Surface form Disambiguated ID Type / Status
Subject Kuniaki E415342 entity
Predicate canBeWrittenAs P12679 FINISHED
Object 邦昭
邦昭 is a Japanese given name, typically masculine, that can be written with kanji meaning concepts such as "nation" and "shining" or "bright."
 E1251711 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: 邦昭 | Statement: [Kuniaki, canBeWrittenAs, 邦昭]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 邦昭
Context triple: [Kuniaki, canBeWrittenAs, 邦昭]
  • A. 昌幸
    昌幸 is a Japanese given name, typically masculine, that can be written with kanji characters meaning concepts such as "prosperity" and "good fortune."
  • B. 季高
    季高 is the courtesy name of Zuo Zongtang, a prominent Qing dynasty statesman and military leader known for his role in suppressing rebellions and promoting modernization in China.
  • C. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • D. 熊氏
    熊氏 is a Chinese surname and clan name historically associated with various lineages and families bearing the character "熊" (bear).
  • E. 仲儒
    仲儒 is the courtesy name of Deng Ai, a prominent Wei general and strategist during China’s Three Kingdoms period.
  • 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: 邦昭
Triple: [Kuniaki, canBeWrittenAs, 邦昭]
Generated description
邦昭 is a Japanese given name, typically masculine, that can be written with kanji meaning concepts such as "nation" and "shining" or "bright."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 邦昭
Target entity description: 邦昭 is a Japanese given name, typically masculine, that can be written with kanji meaning concepts such as "nation" and "shining" or "bright."
  • A. 昌幸
    昌幸 is a Japanese given name, typically masculine, that can be written with kanji characters meaning concepts such as "prosperity" and "good fortune."
  • B. 季高
    季高 is the courtesy name of Zuo Zongtang, a prominent Qing dynasty statesman and military leader known for his role in suppressing rebellions and promoting modernization in China.
  • C. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • D. 熊氏
    熊氏 is a Chinese surname and clan name historically associated with various lineages and families bearing the character "熊" (bear).
  • E. 仲儒
    仲儒 is the courtesy name of Deng Ai, a prominent Wei general and strategist during China’s Three Kingdoms period.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013e2e196081908fed0741db6a9ac1 completed May 11, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a013eadc3e8819093706d8baa524b33 completed May 11, 2026, 2:27 a.m.
Created at: April 10, 2026, 5:35 a.m.