Triple

T2380294
Position Surface form Disambiguated ID Type / Status
Subject Battle of Talas E46295 entity
Predicate commander P1061 FINISHED
Object Duan Xiushi
Duan Xiushi was a Tang dynasty military general best known for his role in the mid-8th century conflicts between the Tang Empire and the Abbasid Caliphate in Central Asia.
E262199 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: Duan Xiushi | Statement: [Battle of Talas, commander, Duan Xiushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duan Xiushi
Context triple: [Battle of Talas, commander, Duan Xiushi]
  • A. Li Xiuzhen
    Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • D. Xie Lian
    Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
  • E. Lei Yixin
    Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
  • 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: Duan Xiushi
Triple: [Battle of Talas, commander, Duan Xiushi]
Generated description
Duan Xiushi was a Tang dynasty military general best known for his role in the mid-8th century conflicts between the Tang Empire and the Abbasid Caliphate in Central Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duan Xiushi
Target entity description: Duan Xiushi was a Tang dynasty military general best known for his role in the mid-8th century conflicts between the Tang Empire and the Abbasid Caliphate in Central Asia.
  • A. Li Xiuzhen
    Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • D. Xie Lian
    Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
  • E. Lei Yixin
    Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b60c8c819080e4f682e4362a93 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ccec008190b21c0bf84f8ecd09 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb43a78f88190a152c8fa83823202 completed March 9, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69aeb4a713508190a9b06ba88364d4d4 completed March 9, 2026, 11:53 a.m.
Created at: March 4, 2026, 7:57 p.m.