Triple

T16243049
Position Surface form Disambiguated ID Type / Status
Subject Empress Fang E394300 entity
Predicate posthumousTitle P4225 FINISHED
Object Xiaode
Xiaode was the posthumous honorific title granted to Empress Fang of the Ming dynasty, reflecting her perceived virtue and moral excellence.
 E1201989 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: Xiaode | Statement: [Empress Fang, posthumousTitle, Xiaode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaode
Context triple: [Empress Fang, posthumousTitle, Xiaode]
  • A. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • B. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • C. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • D. Xiao Muzi
    Xiao Muzi is a pseudonym reportedly used online by Xi Mingze, the daughter of Chinese leader Xi Jinping.
  • E. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • 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: Xiaode
Triple: [Empress Fang, posthumousTitle, Xiaode]
Generated description
Xiaode was the posthumous honorific title granted to Empress Fang of the Ming dynasty, reflecting her perceived virtue and moral excellence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaode
Target entity description: Xiaode was the posthumous honorific title granted to Empress Fang of the Ming dynasty, reflecting her perceived virtue and moral excellence.
  • A. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • B. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • C. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • D. Xiao Muzi
    Xiao Muzi is a pseudonym reportedly used online by Xi Mingze, the daughter of Chinese leader Xi Jinping.
  • E. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edf64a88190a9dd0c591c742977 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00108174ac8190b3c421b115b7190e completed May 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0010f40d6081909927e8281ab17580 completed May 10, 2026, 5 a.m.
Created at: April 10, 2026, 5:04 a.m.