Triple

T1575962
Position Surface form Disambiguated ID Type / Status
Subject Taro E33651 entity
Predicate kanjiVariant P17917 FINISHED
Object 太郎
太郎 is a common Japanese male given name, traditionally used for the eldest son and written with kanji meaning "great" and "son."
E179784 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: 太郎 | Statement: [Taro, kanjiVariant, 太郎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 太郎
Context triple: [Taro, kanjiVariant, 太郎]
  • A. 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。
  • B. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • C. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • D. Shoichi Sakata
    Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
  • E. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • 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: 太郎
Triple: [Taro, kanjiVariant, 太郎]
Generated description
太郎 is a common Japanese male given name, traditionally used for the eldest son and written with kanji meaning "great" and "son."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 太郎
Target entity description: 太郎 is a common Japanese male given name, traditionally used for the eldest son and written with kanji meaning "great" and "son."
  • A. 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。
  • B. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • C. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • D. Shoichi Sakata
    Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
  • E. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: kanjiVariant
Context triple: [Taro, kanjiVariant, 太郎]
  • A. kanji chosen
    Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
  • B. usesKanjiFrom
    Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
  • C. hanjaName
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • D. kun’yomiDerivedFrom
    Indicates that a Japanese kun’yomi (native Japanese reading of a kanji) originates from or is historically derived from another form, source, or expression.
  • E. usesKatakanaFor
    Indicates that one entity is written or represented using katakana script in relation to another entity.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad402b44688190b02e6d146f009854 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad410ba7f881909dcee6e6fd56490f completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad41ff0b0c8190b5429ed6952a0ce6 completed March 8, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69a907ba63c88190b60c14dec8d1e40f completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.