Triple
T13903039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingyin Temple |
E334276
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Huili
Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
|
E1072042
|
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: Huili | Statement: [Lingyin Temple, founder, Huili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huili Context triple: [Lingyin Temple, founder, Huili]
-
A.
Huixian
Huixian is a county-level city administered by Xinxiang in Henan Province, China, known for its mix of urban development and surrounding rural landscapes.
-
B.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
C.
Houyuan
Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
-
D.
Houyuan
Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China.
-
E.
Kaihui
Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
- 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: Huili Triple: [Lingyin Temple, founder, Huili]
Generated description
Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huili Target entity description: Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
-
A.
Huixian
Huixian is a county-level city administered by Xinxiang in Henan Province, China, known for its mix of urban development and surrounding rural landscapes.
-
B.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
C.
Houyuan
Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
-
D.
Houyuan
Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China.
-
E.
Kaihui
Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25db1e308190aaed6a21e443cc44 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c26ba08190b19560123691fda4 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba7b0b1e081909b7c1e5ffefc2cc2 |
completed | May 6, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8585fb08190998d6a005dc0bd31 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 9, 2026, 10:16 p.m.