Triple

T19749434
Position Surface form Disambiguated ID Type / Status
Subject Yun E474338 entity
Predicate possibleWriting P37066 FINISHED
Object
昀 is a rare Chinese character, typically used as a given name, that evokes imagery of sunlight or radiance.
E1393452 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: 昀 | Statement: [Yun, possibleWriting, 昀]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 昀
Context triple: [Yun, possibleWriting, 昀]
  • A.
    昴 is the Japanese kanji representation of the name "Subaru," commonly associated with the car manufacturer and the Pleiades star cluster.
  • B. Wenxuan
    Wenxuan is the posthumous temple name of Gao Yang, an emperor of the Northern Qi dynasty in Chinese history.
  • C. Xuanye
    Xuanye was the personal name of the Kangxi Emperor, one of the longest-reigning and most influential rulers of China's Qing dynasty.
  • D. Yaoshan Weiyan
    Yaoshan Weiyan was a prominent Tang dynasty Chan (Zen) Buddhist master known for transmitting and developing the teachings of his teacher Shitou Xiqian.
  • E. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • 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: 昀
Triple: [Yun, possibleWriting, 昀]
Generated description
昀 is a rare Chinese character, typically used as a given name, that evokes imagery of sunlight or radiance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 昀
Target entity description: 昀 is a rare Chinese character, typically used as a given name, that evokes imagery of sunlight or radiance.
  • A.
    昴 is the Japanese kanji representation of the name "Subaru," commonly associated with the car manufacturer and the Pleiades star cluster.
  • B. Wenxuan
    Wenxuan is the posthumous temple name of Gao Yang, an emperor of the Northern Qi dynasty in Chinese history.
  • C. Xuanye
    Xuanye was the personal name of the Kangxi Emperor, one of the longest-reigning and most influential rulers of China's Qing dynasty.
  • D. Yaoshan Weiyan
    Yaoshan Weiyan was a prominent Tang dynasty Chan (Zen) Buddhist master known for transmitting and developing the teachings of his teacher Shitou Xiqian.
  • E. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65296fa80819085aa4a18153531cf completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b503b84c8190a17cea6751610b62 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b9a8d45c81909da6ca868e9c69c8 completed May 16, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a07ba7256b48190affa988af6187a92 completed May 16, 2026, 12:29 a.m.
Created at: April 10, 2026, 1:47 p.m.