Triple

T3796279
Position Surface form Disambiguated ID Type / Status
Subject Empress Dowager Cixi E89777 entity
Predicate givenName P17 FINISHED
Object Xingzhen
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
 E389608 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: Xingzhen | Statement: [Empress Dowager Cixi, givenName, Xingzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xingzhen
Context triple: [Empress Dowager Cixi, givenName, Xingzhen]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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: Xingzhen
Triple: [Empress Dowager Cixi, givenName, Xingzhen]
Generated description
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xingzhen
Target entity description: Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79f09bc8190b7514a11a030eba5 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05ea5e081908c4714ca35aed48b completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f2ed663c8190be431c7aae60259e completed March 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_69b4f72eba988190acb96b44fc8b7c30 completed March 14, 2026, 5:50 a.m.
Created at: March 9, 2026, 3:15 p.m.