Triple

T18191964
Position Surface form Disambiguated ID Type / Status
Subject Empress Dowager Ci'an E435557 entity
Predicate givenName P17 FINISHED
Object Jingfen
Jingfen was the personal name of Empress Dowager Ci'an, a prominent Qing dynasty empress and co-regent of late 19th-century China.
 E1311921 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: Jingfen | Statement: [Empress Dowager Ci'an, givenName, Jingfen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jingfen
Context triple: [Empress Dowager Ci'an, givenName, Jingfen]
  • A. Yanjing
    Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
  • B. Zicheng
    Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
  • C. Juxian
    Juxian is a county-level city in eastern China's Shandong province, known for its agricultural production and location on the Shandong Peninsula.
  • D. Houyuan
    Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • E. Houyuan
    Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient 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: Jingfen
Triple: [Empress Dowager Ci'an, givenName, Jingfen]
Generated description
Jingfen was the personal name of Empress Dowager Ci'an, a prominent Qing dynasty empress and co-regent of late 19th-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jingfen
Target entity description: Jingfen was the personal name of Empress Dowager Ci'an, a prominent Qing dynasty empress and co-regent of late 19th-century China.
  • A. Yanjing
    Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
  • B. Zicheng
    Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
  • C. Juxian
    Juxian is a county-level city in eastern China's Shandong province, known for its agricultural production and location on the Shandong Peninsula.
  • D. Houyuan
    Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • E. Houyuan
    Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0863e081908a3b32111b98f835 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039f98029c8190b487fbcb3c91112a completed May 12, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0383a308190855c2ef9d93ef57f completed May 12, 2026, 9:48 p.m.
Created at: April 10, 2026, 10:31 a.m.