Triple
T2104901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Qiang |
E37170
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Li Qiang |
E37170
|
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: Li Qiang | Statement: [Li Qiang, name, Li Qiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Qiang Context triple: [Li Qiang, name, Li Qiang]
-
A.
Li Qiang
chosen
Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
-
B.
Li Dongsheng
Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
-
C.
Guan Qihui
Guan Qihui is a Chinese sculptor best known for designing the iconic Five Rams Statue in Guangzhou.
-
D.
Huang Xingguo
Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
-
E.
He Shuheng
He Shuheng was an early Chinese communist revolutionary and close associate of Mao Zedong who played a significant role in the founding and development of the Chinese Communist Party.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbadcd4a081909d60b9b241950335 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95efea5c8190a8a63e36cf3247e7 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:43 p.m.