Triple

T11672999
Position Surface form Disambiguated ID Type / Status
Subject Linji Yixuan E277424 entity
Predicate religiousName P13363 FINISHED
Object Linji
Linji is a seminal 9th-century Chinese Chan (Zen) master whose teachings and style founded the influential Linji school of Zen Buddhism.
E940264 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: Linji | Statement: [Linji Yixuan, religiousName, Linji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linji
Context triple: [Linji Yixuan, religiousName, Linji]
  • A. Hongan-ji
    Hongan-ji is a major Jōdo Shinshū Buddhist temple complex in Kyoto, Japan, renowned for its historical significance, grand wooden architecture, and role as a center of Shin Buddhist practice.
  • B. Zixian
    Zixian is the courtesy name of Xu Guangqi, a prominent late Ming dynasty Chinese scholar-official, scientist, and collaborator with Jesuit missionaries such as Matteo Ricci.
  • C. San Lin
    San Lin is a notable individual associated with the Monarch organization.
  • D. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • E. Linju
    Linju is an ancient Chinese locality historically noted as the place where the famed general Guan Yu met his death.
  • 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: Linji
Triple: [Linji Yixuan, religiousName, Linji]
Generated description
Linji is a seminal 9th-century Chinese Chan (Zen) master whose teachings and style founded the influential Linji school of Zen Buddhism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linji
Target entity description: Linji is a seminal 9th-century Chinese Chan (Zen) master whose teachings and style founded the influential Linji school of Zen Buddhism.
  • A. Hongan-ji
    Hongan-ji is a major Jōdo Shinshū Buddhist temple complex in Kyoto, Japan, renowned for its historical significance, grand wooden architecture, and role as a center of Shin Buddhist practice.
  • B. Zixian
    Zixian is the courtesy name of Xu Guangqi, a prominent late Ming dynasty Chinese scholar-official, scientist, and collaborator with Jesuit missionaries such as Matteo Ricci.
  • C. San Lin
    San Lin is a notable individual associated with the Monarch organization.
  • D. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • E. Linju
    Linju is an ancient Chinese locality historically noted as the place where the famed general Guan Yu met his death.
  • 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.