Triple

T3647834
Position Surface form Disambiguated ID Type / Status
Subject Taichang Emperor E77344 entity
Predicate posthumousName P744 FINISHED
Object Taichang
Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
E376388 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: Taichang | Statement: [Taichang Emperor, posthumousName, Taichang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taichang
Context triple: [Taichang Emperor, posthumousName, Taichang]
  • A. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • B. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • C. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • 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: Taichang
Triple: [Taichang Emperor, posthumousName, Taichang]
Generated description
Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taichang
Target entity description: Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
  • A. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • B. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • C. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4520fb96481909f54af01fc4a3bbe completed March 13, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69b45df65f5c8190a9f25e7da926222a completed March 13, 2026, 6:56 p.m.
Created at: March 8, 2026, 3:24 p.m.