Triple
T9348754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Dezong of Tang |
E224960
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Li Shu
Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
|
E793088
|
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 Shu | Statement: [Emperor Dezong of Tang, child, Li Shu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Shu Context triple: [Emperor Dezong of Tang, child, Li Shu]
-
A.
Li Shan
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
-
B.
Lun Wen
Lun Wen is an influential literary essay by the Chinese emperor and writer Cao Pi, known for its early critical discussion of literature and authorship in classical Chinese literary theory.
-
C.
Yu Yishang
Yu Yishang was one of the principal wives of Yuan Shikai, the early 20th-century Chinese military strongman and short-lived emperor of China.
-
D.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
-
E.
Di Xin
Di Xin was the last ruler of China's Shang dynasty, historically portrayed as a tyrannical and decadent king whose misrule led to the dynasty's downfall.
- 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 Shu Triple: [Emperor Dezong of Tang, child, Li Shu]
Generated description
Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Li Shu Target entity description: Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong 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.
Lun Wen
Lun Wen is an influential literary essay by the Chinese emperor and writer Cao Pi, known for its early critical discussion of literature and authorship in classical Chinese literary theory.
-
C.
Yu Yishang
Yu Yishang was one of the principal wives of Yuan Shikai, the early 20th-century Chinese military strongman and short-lived emperor of China.
-
D.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
-
E.
Di Xin
Di Xin was the last ruler of China's Shang dynasty, historically portrayed as a tyrannical and decadent king whose misrule led to the dynasty's downfall.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e432106c81908ae080f37bc80f3f |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.