Triple
T14130531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang Dezhi |
E350151
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yang Dezhi |
E350151
|
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: Yang Dezhi | Statement: [Yang Dezhi, name, Yang Dezhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Dezhi Context triple: [Yang Dezhi, name, Yang Dezhi]
-
A.
Yang Dezhi
chosen
Yang Dezhi was a prominent Chinese general who held senior command roles in the People’s Liberation Army, including leadership during the Sino-Vietnamese War.
-
B.
Zhao Leji
Zhao Leji is a senior Chinese Communist Party politician and close ally of Xi Jinping who serves as one of China’s top state leaders.
-
C.
Zhu Dong
Zhu Dong was a historical Chinese scholar and educator credited with establishing the influential Yuelu Academy, one of China’s renowned ancient academies of classical learning.
-
D.
Zhu Peide
Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
-
E.
Li Zhengdao
Li Zhengdao, also known as Tsung-Dao Lee, is a Chinese-American theoretical physicist and Nobel laureate renowned for his work on parity violation in weak interactions.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249ebd3c81908d8b562845d9ceb1 |
completed | May 8, 2026, 5:59 p.m. |
Created at: April 9, 2026, 10:47 p.m.