Triple
T594045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Ricketts |
E17338
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | American attorney |
C887
|
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: American attorney Context triple: [Laura Ricketts, instanceOf, American attorney]
-
A.
American lawyer
chosen
An American lawyer is a legal professional licensed in the United States who advises and represents clients in legal matters, interprets and applies U.S. laws, and advocates in courts and other legal settings.
-
B.
American judge
An American judge is a public official in the United States judiciary who interprets and applies the law, presides over legal proceedings, and issues rulings and judgments in accordance with the U.S. Constitution and relevant statutes.
-
C.
attorney
An attorney is a licensed legal professional who advises and represents clients in legal matters, advocating for their rights and interests within the framework of the law.
-
D.
former prosecutor
A former prosecutor is an attorney who previously represented the government in criminal cases, responsible for bringing charges and presenting evidence against individuals accused of crimes.
-
E.
United States government official
A United States government official is an individual who holds an appointed or elected position within the federal, state, or local government of the United States, responsible for carrying out public duties and implementing laws and policies.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:33 p.m.