Triple
T17829306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao Yichang |
E445206
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Wen Qimei |
—
|
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: Wen Qimei | Statement: [Mao Yichang, spouse, Wen Qimei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wen Qimei Context triple: [Mao Yichang, spouse, Wen Qimei]
-
A.
Wen Qimei
chosen
Wen Qimei was the mother of Chinese Communist leader Mao Zedong and a formative influence on his early life.
-
B.
Wang Jingjiu
Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
-
C.
Wen Yumei
Wen Yumei is a Chinese academic leader who serves as the president of Nanchang University.
-
D.
Zhou Mei-qing
Zhou Mei-qing is a Taiwanese public figure best known as the wife of former President Ma Ying-jeou and for her role in Taiwan’s political and social life.
-
E.
Liu Yalou
Liu Yalou was a prominent Chinese military leader and founding general who became the first commander and key architect of the People's Liberation Army Air Force.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.