Triple

T2563044
Position Surface form Disambiguated ID Type / Status
Subject Chan Buddhism E57285 entity
Predicate associatedMonk P39343 FINISHED
Object Huangbo Xiyun
Huangbo Xiyun was a prominent 9th-century Chinese Chan (Zen) master known for his radical teaching of “mind is Buddha” and his strong influence on later Zen traditions.
E277430 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: Huangbo Xiyun | Statement: [Chan Buddhism, associatedMonk, Huangbo Xiyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangbo Xiyun
Context triple: [Chan Buddhism, associatedMonk, Huangbo Xiyun]
  • A. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • B. Ma Lin
    Ma Lin is a retired Chinese table tennis player renowned for his Olympic gold medals and exceptional skill in doubles and penhold play.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Ma Sichun
    Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
  • 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: Huangbo Xiyun
Triple: [Chan Buddhism, associatedMonk, Huangbo Xiyun]
Generated description
Huangbo Xiyun was a prominent 9th-century Chinese Chan (Zen) master known for his radical teaching of “mind is Buddha” and his strong influence on later Zen traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huangbo Xiyun
Target entity description: Huangbo Xiyun was a prominent 9th-century Chinese Chan (Zen) master known for his radical teaching of “mind is Buddha” and his strong influence on later Zen traditions.
  • A. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • B. Ma Lin
    Ma Lin is a retired Chinese table tennis player renowned for his Olympic gold medals and exceptional skill in doubles and penhold play.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Ma Sichun
    Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd8317b0481908d6d1436732253b2 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d264db481908e9dc3b5e2e8260a completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af5dc8aca48190b359526bf60f79ce completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e781360819080b4b96942beb17d completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.