Triple
T15459392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Shaoqi |
E371856
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Liu Ping
Liu Ping is a Chinese individual best known as a child of former President of the People's Republic of China and prominent Communist leader Liu Shaoqi.
|
E1160031
|
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: Liu Ping | Statement: [Liu Shaoqi, child, Liu Ping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Ping Context triple: [Liu Shaoqi, child, Liu Ping]
-
A.
He Ping
He Ping is a Chinese political figure known primarily as the husband of Deng Rong, the daughter of former Chinese leader Deng Xiaoping.
-
B.
Luo Ping
Luo Ping was an 18th-century Chinese painter of the Qing dynasty, renowned for his imaginative and eerie ghost-themed works and association with the Yangzhou school.
-
C.
Liu Qin
Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
-
D.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
-
E.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
- 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: Liu Ping Triple: [Liu Shaoqi, child, Liu Ping]
Generated description
Liu Ping is a Chinese individual best known as a child of former President of the People's Republic of China and prominent Communist leader Liu Shaoqi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liu Ping Target entity description: Liu Ping is a Chinese individual best known as a child of former President of the People's Republic of China and prominent Communist leader Liu Shaoqi.
-
A.
He Ping
He Ping is a Chinese political figure known primarily as the husband of Deng Rong, the daughter of former Chinese leader Deng Xiaoping.
-
B.
Luo Ping
Luo Ping was an 18th-century Chinese painter of the Qing dynasty, renowned for his imaginative and eerie ghost-themed works and association with the Yangzhou school.
-
C.
Liu Qin
Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
-
D.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
-
E.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365504488190a6f43d82d008c855 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff36f17d988190a5e20d2104d5dd09 |
completed | May 9, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37b002a08190a088aff7708a0f99 |
completed | May 9, 2026, 1:33 p.m. |
Created at: April 10, 2026, 3:32 a.m.