Triple

T23408613
Position Surface form Disambiguated ID Type / Status
Subject Empress Dowager Xiaozhenxian E560002 entity
Predicate givenName P17 FINISHED
Object Wanzhen NE NERFINISHED

How this triple was built (3 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: Wanzhen | Statement: [Empress Dowager Xiaozhenxian, givenName, Wanzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanzhen
Context triple: [Empress Dowager Xiaozhenxian, givenName, Wanzhen]
  • A. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • B. Zhishun
    Zhishun was a short-lived era name used during the Yuan dynasty in China.
  • C. Xinzhuang
    Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
  • D. Zhangwu
    Zhangwu was a historical Chinese era name used during the Three Kingdoms period, specifically associated with the Shu Han state.
  • E. Wenzheng
    Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanzhen
Target entity description: Wanzhen was the personal name of Empress Dowager Xiaozhenxian, a Qing dynasty imperial consort who became the mother of the Tongzhi Emperor.
  • A. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • B. Zhishun
    Zhishun was a short-lived era name used during the Yuan dynasty in China.
  • C. Xinzhuang
    Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
  • D. Zhangwu
    Zhangwu was a historical Chinese era name used during the Three Kingdoms period, specifically associated with the Shu Han state.
  • E. Wenzheng
    Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
  • F. None of above. chosen

Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50fff10819094e71fb0c11b7d95 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.