Triple
T17460096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese People's Volunteer Army |
E425128
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Han Xianchu |
—
|
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: Han Xianchu | Statement: [Chinese People's Volunteer Army, commander, Han Xianchu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Xianchu Context triple: [Chinese People's Volunteer Army, commander, Han Xianchu]
-
A.
Han Xianchu
chosen
Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
-
B.
Wang Xiancheng
Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
-
C.
Xiong Huai
Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
-
D.
Hou Liang
Hou Liang, also known as Later Liang, was a short-lived dynasty that ruled northern China during the turbulent Five Dynasties and Ten Kingdoms period following the fall of the Tang.
-
E.
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.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.