Triple

T11673213
Position Surface form Disambiguated ID Type / Status
Subject Baizhang Huaihai E277429 entity
Predicate student P7251 FINISHED
Object Guishan Lingyou
Guishan Lingyou was a prominent Chinese Chan (Zen) Buddhist master of the Tang dynasty, known for helping develop the Guiyang school of Chan.
E940278 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: Guishan Lingyou | Statement: [Baizhang Huaihai, student, Guishan Lingyou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guishan Lingyou
Context triple: [Baizhang Huaihai, student, Guishan Lingyou]
  • A. Bishu Shanzhuang
    Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
  • B. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • C. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • D. Dongshan Liangjie
    Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • 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: Guishan Lingyou
Triple: [Baizhang Huaihai, student, Guishan Lingyou]
Generated description
Guishan Lingyou was a prominent Chinese Chan (Zen) Buddhist master of the Tang dynasty, known for helping develop the Guiyang school of Chan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guishan Lingyou
Target entity description: Guishan Lingyou was a prominent Chinese Chan (Zen) Buddhist master of the Tang dynasty, known for helping develop the Guiyang school of Chan.
  • A. Bishu Shanzhuang
    Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
  • B. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • C. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • D. Dongshan Liangjie
    Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13e1b3d8819085ea806280ed69d3 completed April 27, 2026, 7:44 a.m.
NEDg Description generation batch_69ef3551b9a88190a9b30bcb2592628b completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51c17078819083f05036f290ce09 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:40 p.m.