Triple
T14983237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Guangmei |
E373633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | First Lady of China |
C1231
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: First Lady of China Context triple: [Wang Guangmei, instanceOf, First Lady of China]
-
A.
former First Lady
A former First Lady is a woman who previously held the unofficial but influential role of spouse of a serving head of state or government, often engaging in public service, advocacy, and ceremonial duties during and sometimes after her tenure.
-
B.
First Lady
chosen
The First Lady is the spouse or designated female partner of a head of state or government who often undertakes ceremonial, diplomatic, and philanthropic roles alongside the official duties of the leader.
-
C.
former Empress of Japan
A former Empress of Japan is a woman who previously held the title of Empress as the wife or consort of a reigning Japanese Emperor and has since left the position due to the Emperor’s abdication or death.
-
D.
First Lady of France
The First Lady of France is the informal title given to the spouse or partner of the serving President of France, who often undertakes public, charitable, and representational duties alongside the head of state.
-
E.
former First Lady of the United States
A former First Lady of the United States is a woman who previously served as the spouse of a sitting U.S. president, often engaging in public service, advocacy, and ceremonial duties during and sometimes after her tenure in the White House.
- F. None of above.
Provenance (1 batch)
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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:52 a.m.