Triple

T9640650
Position Surface form Disambiguated ID Type / Status
Subject Emperor Yizong of Tang E233055 entity
Predicate personalName P24312 FINISHED
Object Li Wen
Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
E856865 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: Li Wen | Statement: [Emperor Yizong of Tang, personalName, Li Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Wen
Context triple: [Emperor Yizong of Tang, personalName, Li Wen]
  • A. Li Qiang
    Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
  • B. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • C. Li Jiong
    Li Jiong was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • D. Li Jinglin
    Li Jinglin was a prominent Chinese warlord and military commander of the early Republican era, associated with the Zhili clique during the Warlord Era.
  • E. Li Xin
    Li Xin was a prominent Qin general during the Warring States period who led major campaigns that contributed to the unification of China under the Qin dynasty.
  • 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: Li Wen
Triple: [Emperor Yizong of Tang, personalName, Li Wen]
Generated description
Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Li Wen
Target entity description: Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
  • A. Li Qiang
    Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
  • B. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • C. Li Jiong
    Li Jiong was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • D. Li Jinglin
    Li Jinglin was a prominent Chinese warlord and military commander of the early Republican era, associated with the Zhili clique during the Warlord Era.
  • E. Li Xin
    Li Xin was a prominent Qin general during the Warring States period who led major campaigns that contributed to the unification of China under the Qin dynasty.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fb63b7081909cb6faddd795ced6 completed April 9, 2026, 7:05 a.m.
NEDg Description generation batch_69d751122d208190abaa4fd72a07643b completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d4aa908190a825322ebf0066af completed April 9, 2026, 7:14 a.m.
Created at: March 30, 2026, 8:12 p.m.