Triple

T12719941
Position Surface form Disambiguated ID Type / Status
Subject Joseph Hardy Neesima E303947 entity
Predicate nativeName P15 FINISHED
Object 新島襄
新島襄(Joseph Hardy Neesima)は、日本のキリスト教教育の先駆者であり、同志社英学校(現・同志社大学)の創立者として知られる人物である。
E999845 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: 新島襄 | Statement: [Joseph Hardy Neesima, nativeName, 新島襄]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 新島襄
Context triple: [Joseph Hardy Neesima, nativeName, 新島襄]
  • A. 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.
  • B. 木村資生
    木村資生は、分子進化における「中立進化説」を提唱したことで知られる日本の著名な遺伝学者・進化生物学者である。
  • C. 鮎川 義介
    鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
  • D. 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.
  • E. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • 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: 新島襄
Triple: [Joseph Hardy Neesima, nativeName, 新島襄]
Generated description
新島襄(Joseph Hardy Neesima)は、日本のキリスト教教育の先駆者であり、同志社英学校(現・同志社大学)の創立者として知られる人物である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 新島襄
Target entity description: 新島襄(Joseph Hardy Neesima)は、日本のキリスト教教育の先駆者であり、同志社英学校(現・同志社大学)の創立者として知られる人物である。
  • A. 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.
  • B. 木村資生
    木村資生は、分子進化における「中立進化説」を提唱したことで知られる日本の著名な遺伝学者・進化生物学者である。
  • C. 鮎川 義介
    鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
  • D. 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.
  • E. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8250108190bb7b3c93e590ea47 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ed2eac88190938747d2c75bae86 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:24 p.m.