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.