Triple
T21334948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang Yong |
E526016
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yang Yong |
—
|
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: Yang Yong | Statement: [Yang Yong, name, Yang Yong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Yong Context triple: [Yang Yong, name, Yang Yong]
-
A.
Yang Yong
Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
-
B.
Yang Yong
Yang Yong was the original crown prince of China's Sui dynasty who was deposed in favor of his younger brother, the future Emperor Yang.
-
C.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
D.
Yuan Jiahua
Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
-
E.
Lu Yanzhi
Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d602c08190821c63e0aff42fc2 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 4:43 p.m.