Triple

T2649946
Position Surface form Disambiguated ID Type / Status
Subject Nankai University E53872 entity
Predicate founder P104 FINISHED
Object Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
E288071 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: Yan Xiu | Statement: [Nankai University, founder, Yan Xiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yan Xiu
Context triple: [Nankai University, founder, Yan Xiu]
  • A. Qi Xin
    Qi Xin is a Chinese revolutionary and former Party official best known as the mother of China’s paramount leader Xi Jinping.
  • B. Sun Xiu
    Sun Xiu was an emperor of Eastern Wu during China’s Three Kingdoms period, known for his short and relatively uneventful reign following the rule of his brother Sun Liang.
  • C. Shen Yiqin
    Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
  • D. Lu Muzhen
    Lu Muzhen was the first wife of Chinese revolutionary leader Sun Yat-sen, known primarily for her connection to his early life and career.
  • E. Song Shilun
    Song Shilun was a prominent Chinese general of the People’s Volunteer Army during the Korean War, noted for leading Chinese forces in major campaigns against United Nations troops.
  • 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: Yan Xiu
Triple: [Nankai University, founder, Yan Xiu]
Generated description
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yan Xiu
Target entity description: Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
  • A. Qi Xin
    Qi Xin is a Chinese revolutionary and former Party official best known as the mother of China’s paramount leader Xi Jinping.
  • B. Sun Xiu
    Sun Xiu was an emperor of Eastern Wu during China’s Three Kingdoms period, known for his short and relatively uneventful reign following the rule of his brother Sun Liang.
  • C. Shen Yiqin
    Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
  • D. Lu Muzhen
    Lu Muzhen was the first wife of Chinese revolutionary leader Sun Yat-sen, known primarily for her connection to his early life and career.
  • E. Song Shilun
    Song Shilun was a prominent Chinese general of the People’s Volunteer Army during the Korean War, noted for leading Chinese forces in major campaigns against United Nations troops.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91ca1288190ba302b04bac4c153 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0fef4c481908db42628cd6e72fe completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1fc3884819094503650206ec788 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:53 p.m.