Triple

T16912476
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaoduanxian E410235 entity
Predicate givenName P17 FINISHED
Object Xijie
Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
 E1239815 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: Xijie | Statement: [Empress Xiaoduanxian, givenName, Xijie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xijie
Context triple: [Empress Xiaoduanxian, givenName, Xijie]
  • A. Zhongxun
    Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
  • B. Xiantong
    Xiantong was the reign era name used by Emperor Xizong during a late period of the Tang dynasty in China.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Changxun
    Changxun was the given name of Zhu Changxun, a Ming dynasty imperial prince and son of the Wanli Emperor.
  • E. Tsinan
    Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
  • 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: Xijie
Triple: [Empress Xiaoduanxian, givenName, Xijie]
Generated description
Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xijie
Target entity description: Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
  • A. Zhongxun
    Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
  • B. Xiantong
    Xiantong was the reign era name used by Emperor Xizong during a late period of the Tang dynasty in China.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Changxun
    Changxun was the given name of Zhu Changxun, a Ming dynasty imperial prince and son of the Wanli Emperor.
  • E. Tsinan
    Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c9059a2c819099ede5a7b6e25b18 completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9d1c6a0819083635b8246cc82e7 completed May 10, 2026, 6:09 p.m.
Created at: April 10, 2026, 5:30 a.m.