Triple
T8882119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangxi Clique |
E211435
|
entity |
| Predicate | hasLeader |
P981
|
FINISHED |
| Object | Huang Shaoxiong |
E509931
|
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: Huang Shaoxiong | Statement: [Guangxi Clique, hasLeader, Huang Shaoxiong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huang Shaoxiong Context triple: [Guangxi Clique, hasLeader, Huang Shaoxiong]
-
A.
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.
-
B.
Huang Jianxin
Huang Jianxin is a prominent Chinese filmmaker known for his socially conscious, often satirical films that explore contemporary Chinese life and politics.
-
C.
Huang Shaohong
chosen
Huang Shaohong was a prominent Chinese Nationalist military and political leader who played a key role in the development and governance of Guangxi during the Republican era.
-
D.
Huang Xiansheng
Huang Xiansheng was a Chinese military figure and graduate of the Yunnan Military Academy, an institution known for training many influential officers in modern Chinese history.
-
E.
Huang Zhiyong
Huang Zhiyong was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d181fc06c48190b6a7444d975b1e09 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 6:53 p.m.