Triple

T2944960
Position Surface form Disambiguated ID Type / Status
Subject Hongguang Emperor E79478 entity
Predicate father P120 FINISHED
Object Zhu Changxun
Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
 E360323 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: Zhu Changxun | Statement: [Hongguang Emperor, father, Zhu Changxun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhu Changxun
Context triple: [Hongguang Emperor, father, Zhu Changxun]
  • A. Peng Yuchang
    Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
  • B. Yin Jichang
    Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
  • C. Zhu Peide
    Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
  • D. Peng Huanwu
    Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
  • E. Chen Zhanxiang
    Chen Zhanxiang was a Chinese architect best known for co-designing Beijing’s Monument to the People’s Heroes in Tiananmen Square.
  • 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: Zhu Changxun
Triple: [Hongguang Emperor, father, Zhu Changxun]
Generated description
Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhu Changxun
Target entity description: Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
  • A. Peng Yuchang
    Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
  • B. Yin Jichang
    Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
  • C. Zhu Peide
    Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
  • D. Peng Huanwu
    Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
  • E. Chen Zhanxiang
    Chen Zhanxiang was a Chinese architect best known for co-designing Beijing’s Monument to the People’s Heroes in Tiananmen Square.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e2fbb8819084e01920d2a37b80 completed March 13, 2026, 1:26 a.m.
NEDg Description generation batch_69b36888570c819097e801e76a4e14ac completed March 13, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69b368f5e92c8190893929d2ed0f5c6a completed March 13, 2026, 1:31 a.m.
Created at: March 8, 2026, 2:56 p.m.