Triple
T11672992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linji Yixuan |
E277424
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object |
Huanglong Huinan
Huanglong Huinan was a prominent Chinese Chan (Zen) Buddhist master of the Song dynasty, known as a key successor in the Linji school lineage.
|
E940262
|
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: Huanglong Huinan | Statement: [Linji Yixuan, teacherOf, Huanglong Huinan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huanglong Huinan Context triple: [Linji Yixuan, teacherOf, Huanglong Huinan]
-
A.
Huanglong
Huanglong was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
-
B.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
C.
Hongyuan
Hongyuan is a Chinese company best known in sports for its long-term title sponsorship of the Guangdong Southern Tigers basketball team.
-
D.
Gaotangling
Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
-
E.
Fengjing
Fengjing is an ancient water town in Shanghai, China, renowned for its well-preserved traditional architecture, stone bridges, and network of canals.
- 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: Huanglong Huinan Triple: [Linji Yixuan, teacherOf, Huanglong Huinan]
Generated description
Huanglong Huinan was a prominent Chinese Chan (Zen) Buddhist master of the Song dynasty, known as a key successor in the Linji school lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huanglong Huinan Target entity description: Huanglong Huinan was a prominent Chinese Chan (Zen) Buddhist master of the Song dynasty, known as a key successor in the Linji school lineage.
-
A.
Huanglong
Huanglong was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
-
B.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
C.
Hongyuan
Hongyuan is a Chinese company best known in sports for its long-term title sponsorship of the Guangdong Southern Tigers basketball team.
-
D.
Gaotangling
Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
-
E.
Fengjing
Fengjing is an ancient water town in Shanghai, China, renowned for its well-preserved traditional architecture, stone bridges, and network of canals.
- 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.