Triple

T4605337
Position Surface form Disambiguated ID Type / Status
Subject 小和田雅子 E100417 entity
Predicate 母親 P45555 FINISHED
Object 小和田優美子
小和田優美子は、日本の皇后雅子さま(小和田雅子)の実母として知られる人物である。
E456042 NE FINISHED

How this triple was built (5 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: 小和田優美子 | Statement: [小和田雅子, 母親, 小和田優美子]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 小和田優美子
Context triple: [小和田雅子, 母親, 小和田優美子]
  • A. 小和田雅子
    小和田雅子は、日本の皇太子妃を経て現在の皇后であり、外交官出身の高い教養と国際感覚を持つ人物です。
  • B. 岸田裕子
    岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
  • C. 東條 和子
    東條 和子 is known as one of the children of former Japanese Prime Minister and World War II military leader Hideki Tojo.
  • D. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • E. Koyama Mihoko
    Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
  • 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: 小和田優美子
Triple: [小和田雅子, 母親, 小和田優美子]
Generated description
小和田優美子は、日本の皇后雅子さま(小和田雅子)の実母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: 小和田優美子
Target entity description: 小和田優美子は、日本の皇后雅子さま(小和田雅子)の実母として知られる人物である。
  • A. 小和田雅子
    小和田雅子は、日本の皇太子妃を経て現在の皇后であり、外交官出身の高い教養と国際感覚を持つ人物です。
  • B. 岸田裕子
    岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
  • C. 東條 和子
    東條 和子 is known as one of the children of former Japanese Prime Minister and World War II military leader Hideki Tojo.
  • D. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • E. Koyama Mihoko
    Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 母親
Context triple: [小和田雅子, 母親, 小和田優美子]
  • A. motherIs
    Indicates that one entity is the mother (biological or adoptive) of another entity.
  • B. isMotherOf chosen
    Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
  • C. motherFrom
    Indicates that one entity is the mother (biological or adoptive) of another entity, specifying a maternal parent-child relationship from the mother to the child.
  • D. spouseMother
    Indicates that one person is the mother of another person’s spouse.
  • E. motherName
    Indicates that the predicate specifies the personal name of an entity’s mother.
  • F. None of above.

Provenance (6 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599b1f0881909fd693b81ff44f98 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa6d24808190a4edc426b8b719cd completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfbea628c81908f96e706d650ef9f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc97fc54819093e0cff18a40bde2 completed March 21, 2026, 2:04 a.m.
PD Predicate disambiguation batch_69bd522e2d5c8190937d0b5574f78f99 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.