Triple
T21315015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Xianchu |
E525443
|
entity |
| Predicate | name |
P16
|
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: [Han Xianchu, name, Han Xianchu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Xianchu Context triple: [Han Xianchu, name, 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.
Han Xiting
Han Xiting is an actress known for her role in the Chinese historical war drama film "The Flowers of War."
-
C.
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.
-
D.
Xiong Huai
Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
-
E.
He Xiangjian
He Xiangjian is a Chinese billionaire entrepreneur best known as the founder of Midea Group, one of the world’s largest home appliance manufacturers.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dce6b4081909841ac0440fca5e4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:28 p.m.