Triple
T15974707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Liu |
E387414
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Liu Qing |
E1095614
|
NE FINISHED |
How this triple was built (2 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 Qing | Statement: [Jean Liu, name, Liu Qing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Qing Context triple: [Jean Liu, name, Liu Qing]
-
A.
Liu Qing
chosen
Liu Qing is a prominent Chinese business executive best known as the president of ride-hailing giant Didi Chuxing and as the daughter of Lenovo founder Liu Chuanzhi.
-
B.
Liu Rong
Liu Rong was a Han dynasty prince and briefly crown prince of Emperor Jing of Han before being deposed in a major court succession struggle.
-
C.
Feng Jicai
Feng Jicai is a prominent Chinese writer, cultural scholar, and preservationist known for his fiction and his efforts to protect China's urban and folk cultural heritage.
-
D.
Xie Jin
Xie Jin was a prominent Ming dynasty scholar-official and literary figure best known for leading the compilation of the vast Yongle Encyclopedia.
-
E.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572c216c81908f2070d2a87609c2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8ce7788190a3e0aefc9a29d58a |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.