Triple

T15629262
Position Surface form Disambiguated ID Type / Status
Subject Jun E375764 entity
Predicate orthographicVariant P33995 FINISHED
Object ジュン
ジュンは、日本語で人名やキャラクター名などによく用いられるカタカナ表記の名前です。
E1167574 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: ジュン | Statement: [Jun, orthographicVariant, ジュン]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ジュン
Context triple: [Jun, orthographicVariant, ジュン]
  • A. Junnosuke
    Junnosuke is a Japanese given name commonly used for males.
  • B. JuJu Chan
    JuJu Chan is a Hong Kong-American actress and martial artist known for her action roles in film and television, often drawing comparisons to Bruce Lee.
  • C. Juemin
    Juemin is the given name of Lin Juemin, a notable Chinese revolutionary associated with the late Qing dynasty reform movements.
  • D. Yuko
    Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • E. Yuko
    Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
  • 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: ジュン
Triple: [Jun, orthographicVariant, ジュン]
Generated description
ジュンは、日本語で人名やキャラクター名などによく用いられるカタカナ表記の名前です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ジュン
Target entity description: ジュンは、日本語で人名やキャラクター名などによく用いられるカタカナ表記の名前です。
  • A. Junnosuke
    Junnosuke is a Japanese given name commonly used for males.
  • B. JuJu Chan
    JuJu Chan is a Hong Kong-American actress and martial artist known for her action roles in film and television, often drawing comparisons to Bruce Lee.
  • C. Juemin
    Juemin is the given name of Lin Juemin, a notable Chinese revolutionary associated with the late Qing dynasty reform movements.
  • D. Yuko
    Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • E. Yuko
    Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f43191c81908c5704314a002608 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff5ffaefb4819094468ff0008740f8 completed May 9, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69ff6062f0ac819081270f270ce2f057 completed May 9, 2026, 4:27 p.m.
Created at: April 10, 2026, 4:14 a.m.