Triple

T7824727
Position Surface form Disambiguated ID Type / Status
Subject Shu Han E181217 entity
Predicate eraName P2938 FINISHED
Object Yanxi
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
 E695252 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: Yanxi | Statement: [Shu Han, eraName, Yanxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yanxi
Context triple: [Shu Han, eraName, Yanxi]
  • A. Wanrong
    Wanrong was the last empress of China as the consort of Puyi, the final emperor of the Qing dynasty.
  • B. Xiangmei
    Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
  • C. Empress Xiaoshengxian
    Empress Xiaoshengxian was a Qing dynasty empress dowager and influential consort of the Yongzheng Emperor, best known as the mother of the Qianlong Emperor and a key political and cultural figure in his long reign.
  • D. Yehenara Xingzhen
    Yehenara Xingzhen was the personal name of Empress Dowager Cixi, the powerful late Qing dynasty ruler who effectively controlled the Chinese imperial government for decades.
  • E. Empress Xiaoshurui
    Empress Xiaoshurui was a Qing dynasty empress consort of the Jiaqing Emperor and the mother of his successor, the Daoguang Emperor.
  • 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: Yanxi
Triple: [Shu Han, eraName, Yanxi]
Generated description
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yanxi
Target entity description: Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
  • A. Wanrong
    Wanrong was the last empress of China as the consort of Puyi, the final emperor of the Qing dynasty.
  • B. Xiangmei
    Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
  • C. Empress Xiaoshengxian
    Empress Xiaoshengxian was a Qing dynasty empress dowager and influential consort of the Yongzheng Emperor, best known as the mother of the Qianlong Emperor and a key political and cultural figure in his long reign.
  • D. Yehenara Xingzhen
    Yehenara Xingzhen was the personal name of Empress Dowager Cixi, the powerful late Qing dynasty ruler who effectively controlled the Chinese imperial government for decades.
  • E. Empress Xiaoshurui
    Empress Xiaoshurui was a Qing dynasty empress consort of the Jiaqing Emperor and the mother of his successor, the Daoguang Emperor.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa0c1f5c8190b16db20daad159a1 completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14aefd4881908ffa5825f4ba6eff completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734159881909590ed51e8920387 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:42 p.m.