Triple

T9745984
Position Surface form Disambiguated ID Type / Status
Subject Aritomo Gotō E236308 entity
Predicate nativeName P15 FINISHED
Object 五藤 孜郎
五藤孜郎(ごとう ありとも)は、日本の人物であり、「Aritomo Gotō」の日本語表記名として知られている。
E817898 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: 五藤 孜郎 | Statement: [Aritomo Gotō, nativeName, 五藤 孜郎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 五藤 孜郎
Context triple: [Aritomo Gotō, nativeName, 五藤 孜郎]
  • A. 藤田 嗣治
    藤田 嗣治 was a Japanese–French painter and printmaker associated with the École de Paris, renowned for his distinctive milky-white nudes and depictions of cats.
  • B. 南 次郎
    南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
  • C. 近藤 信竹
    近藤 信竹(こんどう のぶたけ)は、第二次世界大戦期に連合艦隊副司令長官などを務めた日本海軍の軍人・海軍大将です。
  • D. 加藤 友三郎
    加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
  • E. 堤康次郎
    堤康次郎は、西武グループを築き上げた日本の実業家・政治家であり、戦後日本を代表する大資本家の一人として知られている人物である。
  • 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: 五藤 孜郎
Triple: [Aritomo Gotō, nativeName, 五藤 孜郎]
Generated description
五藤孜郎(ごとう ありとも)は、日本の人物であり、「Aritomo Gotō」の日本語表記名として知られている。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 五藤 孜郎
Target entity description: 五藤孜郎(ごとう ありとも)は、日本の人物であり、「Aritomo Gotō」の日本語表記名として知られている。
  • A. 藤田 嗣治
    藤田 嗣治 was a Japanese–French painter and printmaker associated with the École de Paris, renowned for his distinctive milky-white nudes and depictions of cats.
  • B. 南 次郎
    南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
  • C. 近藤 信竹
    近藤 信竹(こんどう のぶたけ)は、第二次世界大戦期に連合艦隊副司令長官などを務めた日本海軍の軍人・海軍大将です。
  • D. 加藤 友三郎
    加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
  • E. 堤康次郎
    堤康次郎は、西武グループを築き上げた日本の実業家・政治家であり、戦後日本を代表する大資本家の一人として知られている人物である。
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f65ad788190b68d731b6f516d93 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b004a6e88190a974f4a8973f91ef completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.