Triple
T10305066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsien |
E241730
|
entity |
| Predicate | romanizationOf |
P2508
|
FINISHED |
| Object |
Qian
Qian is a common Chinese surname and given name whose spelling in the Latin alphabet follows the Hanyu Pinyin romanization system.
|
E854249
|
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: Qian | Statement: [Tsien, romanizationOf, Qian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qian Context triple: [Tsien, romanizationOf, Qian]
-
A.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
B.
Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
-
C.
Keqiang
Keqiang is the given name of Li Keqiang, who served as the Premier of the People's Republic of China from 2013 to 2023.
-
D.
Yuanpei
Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th century.
-
E.
Jianzhong
Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
- 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: Qian Triple: [Tsien, romanizationOf, Qian]
Generated description
Qian is a common Chinese surname and given name whose spelling in the Latin alphabet follows the Hanyu Pinyin romanization system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qian Target entity description: Qian is a common Chinese surname and given name whose spelling in the Latin alphabet follows the Hanyu Pinyin romanization system.
-
A.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
B.
Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
-
C.
Keqiang
Keqiang is the given name of Li Keqiang, who served as the Premier of the People's Republic of China from 2013 to 2023.
-
D.
Yuanpei
Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th century.
-
E.
Jianzhong
Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d309a4508190ad9de37171a64dba |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d58416081909a010e905d70e934 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:46 a.m.