Triple
T15510071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Weihan |
E368683
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Weihan |
E368683
|
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: Weihan | Statement: [Li Weihan, givenName, Weihan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weihan Context triple: [Li Weihan, givenName, Weihan]
-
A.
Weihan
chosen
Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
-
B.
Guangqi
Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
-
C.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
-
D.
Wenzhong
Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
-
E.
Xiangbo
Xiangbo is the given name of Ma Xiangbo, a prominent Chinese Jesuit priest, educator, and co-founder of several influential modern universities in China.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36702ebc81908d6a00243865de61 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.