Triple
T23723445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supriya Jolly Jindal |
E586206
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | First Lady of Louisiana |
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 Louisiana Context triple: [Supriya Jolly Jindal, instanceOf, First Lady of Louisiana]
-
A.
Governor of Louisiana
The Governor of Louisiana is the state's chief executive officer, responsible for implementing state laws, overseeing the executive branch, proposing budgets and policies, and representing Louisiana in governmental and ceremonial matters.
-
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 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.
-
D.
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.
-
E.
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.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 17, 2026, 7:07 p.m.