Triple

T15629248
Position Surface form Disambiguated ID Type / Status
Subject Jun E375764 entity
Predicate canBeWrittenWithKanji P59069 FINISHED
Object 淳
淳 is a Japanese kanji character commonly used in given names, often conveying meanings related to purity, honesty, or simplicity.
 E1167573 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: 淳 | Statement: [Jun, canBeWrittenWithKanji, 淳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 淳
Context triple: [Jun, canBeWrittenWithKanji, 淳]
  • A. 鄭
    鄭 is a common Korean family name of Chinese origin, typically romanized as Jeong, Jung, or Chung.
  • B. 陳
    陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
  • C. 洙
    洙 is a Chinese character commonly used as a given name and in place names, often associated with water-related meanings.
  • D. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • E. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • 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: 淳
Triple: [Jun, canBeWrittenWithKanji, 淳]
Generated description
淳 is a Japanese kanji character commonly used in given names, often conveying meanings related to purity, honesty, or simplicity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 淳
Target entity description: 淳 is a Japanese kanji character commonly used in given names, often conveying meanings related to purity, honesty, or simplicity.
  • A. 鄭
    鄭 is a common Korean family name of Chinese origin, typically romanized as Jeong, Jung, or Chung.
  • B. 陳
    陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
  • C. 洙
    洙 is a Chinese character commonly used as a given name and in place names, often associated with water-related meanings.
  • D. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • E. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • 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.