Triple
T20323734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Wenhui |
E492277
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Liu Wenhui |
—
|
NE NERFINISHED |
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 Wenhui | Statement: [Liu Wenhui, name, Liu Wenhui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Wenhui Context triple: [Liu Wenhui, name, Liu Wenhui]
-
A.
Liu Wenhui
chosen
Liu Wenhui was a Chinese warlord and Kuomintang general who controlled parts of Sichuan during the Republican era.
-
B.
Zhang Jinghui
Zhang Jinghui was a Chinese politician who served as the last prime minister of the Japanese puppet state of Manchukuo during World War II.
-
C.
Liu Jian
Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
-
D.
Liu Jian
Liu Jian is a highly skilled Chinese intelligence agent portrayed by Jet Li in the action film "Kiss of the Dragon."
-
E.
Jiang Mianheng
Jiang Mianheng is a Chinese physicist, businessman, and the son of former Chinese president Jiang Zemin, known for his influential roles in China's technology and telecommunications sectors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.