Triple

T8219985
Position Surface form Disambiguated ID Type / Status
Subject Chongqing University E192033 entity
Predicate founder P104 FINISHED
Object Liu Xiang
Liu Xiang was a Chinese educator and politician active in the early 20th century who played a key role in developing higher education in China.
 E719110 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: Liu Xiang | Statement: [Chongqing University, founder, Liu Xiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liu Xiang
Context triple: [Chongqing University, founder, Liu Xiang]
  • A. Wang Junxia
    Wang Junxia is a Chinese long-distance runner who set multiple world records in the 1990s and won Olympic gold in the 10,000 meters.
  • B. Wu Dajing
    Wu Dajing is a Chinese short track speed skater and Olympic champion known for his world-record performances in the 500-meter event.
  • C. Liu Li
    Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
  • D. Jianhang Jin
    Jianhang Jin is a Chinese entrepreneur best known as a co-founder and early leader of the e-commerce and technology conglomerate Alibaba Group.
  • E. Liu Wei
    Liu Wei is a prominent Chinese basketball player and longtime point guard for the Shanghai Sharks who also represented China in multiple international competitions, including the Olympics.
  • 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: Liu Xiang
Triple: [Chongqing University, founder, Liu Xiang]
Generated description
Liu Xiang was a Chinese educator and politician active in the early 20th century who played a key role in developing higher education in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liu Xiang
Target entity description: Liu Xiang was a Chinese educator and politician active in the early 20th century who played a key role in developing higher education in China.
  • A. Wang Junxia
    Wang Junxia is a Chinese long-distance runner who set multiple world records in the 1990s and won Olympic gold in the 10,000 meters.
  • B. Wu Dajing
    Wu Dajing is a Chinese short track speed skater and Olympic champion known for his world-record performances in the 500-meter event.
  • C. Liu Li
    Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
  • D. Jianhang Jin
    Jianhang Jin is a Chinese entrepreneur best known as a co-founder and early leader of the e-commerce and technology conglomerate Alibaba Group.
  • E. Liu Wei
    Liu Wei is a prominent Chinese basketball player and longtime point guard for the Shanghai Sharks who also represented China in multiple international competitions, including the Olympics.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee01ed9c819086bfc35e89f7bad8 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.