Triple

T11372351
Position Surface form Disambiguated ID Type / Status
Subject Tatsuno Kingo E269372 entity
Predicate nativeName P15 FINISHED
Object 辰野金吾
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
E921934 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: 辰野金吾 | Statement: [Tatsuno Kingo, nativeName, 辰野金吾]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 辰野金吾
Context triple: [Tatsuno Kingo, nativeName, 辰野金吾]
  • A. 天野之弥
    天野之弥(Yukiya Amano)は、国際原子力機関(IAEA)の事務局長を務めた日本の外交官です。
  • B. 天野 浩
    天野 浩は、青色発光ダイオード(青色LED)の発明で2014年にノーベル物理学賞を受賞した日本の物理学者・工学者です。
  • C. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • D. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • 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: 辰野金吾
Triple: [Tatsuno Kingo, nativeName, 辰野金吾]
Generated description
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 辰野金吾
Target entity description: 辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
  • A. 天野之弥
    天野之弥(Yukiya Amano)は、国際原子力機関(IAEA)の事務局長を務めた日本の外交官です。
  • B. 天野 浩
    天野 浩は、青色発光ダイオード(青色LED)の発明で2014年にノーベル物理学賞を受賞した日本の物理学者・工学者です。
  • C. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • D. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568516a481909ea66cbe53968e84 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.