Triple

T3481158
Position Surface form Disambiguated ID Type / Status
Subject Hongxi Emperor E73492 entity
Predicate reignName P32785 FINISHED
Object Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
 E360807 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: Hongxi | Statement: [Hongxi Emperor, reignName, Hongxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hongxi
Context triple: [Hongxi Emperor, reignName, Hongxi]
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Zijincheng
    Zijincheng is the Chinese name for the Forbidden City, the vast imperial palace complex in central Beijing that served as the home of emperors and the political heart of China for nearly five centuries.
  • E. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • 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: Hongxi
Triple: [Hongxi Emperor, reignName, Hongxi]
Generated description
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hongxi
Target entity description: Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • D. Zijincheng
    Zijincheng is the Chinese name for the Forbidden City, the vast imperial palace complex in central Beijing that served as the home of emperors and the political heart of China for nearly five centuries.
  • E. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.