Triple
T9501583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Xianzong of Tang |
E229152
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Li Kuan
Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
|
E808650
|
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: Li Kuan | Statement: [Emperor Xianzong of Tang, child, Li Kuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Kuan Context triple: [Emperor Xianzong of Tang, child, Li Kuan]
-
A.
Li Shan
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
D.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
-
E.
Li Shu
Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
- 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: Li Kuan Triple: [Emperor Xianzong of Tang, child, Li Kuan]
Generated description
Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Li Kuan Target entity description: Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
A.
Li Shan
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
D.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
-
E.
Li Shu
Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983d4b708190a4dfef1246986a26 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16126726c81908e6194a5db342c57 |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d1634b3cf481909725074696790247 |
completed | April 4, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 7:57 p.m.