Triple
T9639962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Yeping |
E233036
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wang Yeping |
E233036
|
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: Wang Yeping | Statement: [Wang Yeping, name, Wang Yeping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wang Yeping Context triple: [Wang Yeping, name, Wang Yeping]
-
A.
Wang Yeping
chosen
Wang Yeping is the wife of former Chinese paramount leader and Communist Party General Secretary Jiang Zemin.
-
B.
Yang Yuehua
Yang Yuehua is a Chinese individual known primarily for being the sibling of former professional tennis star Li Na.
-
C.
Zhao Bingjun
Zhao Bingjun was an early Republican Chinese politician who served as a key government leader during the formative years of the Republic of China.
-
D.
Shen Hongying
Shen Hongying was a Chinese warlord and military leader associated with the Guangxi Clique during the turbulent Warlord Era of early 20th-century China.
-
E.
Jiang Bingzhi
Jiang Bingzhi is the birth name of Ding Ling, a prominent 20th-century Chinese writer known for her influential leftist literature and feminist themes.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6525a4af08190bcd8455e95a2f3ae |
completed | April 8, 2026, 1:04 p.m. |
Created at: March 30, 2026, 8:12 p.m.