Triple
T5115573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna M. Kross |
E115323
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | New York City Commissioner of Correction |
C17613
|
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: New York City Commissioner of Correction Context triple: [Anna M. Kross, instanceOf, New York City Commissioner of Correction]
-
A.
department of corrections
A department of corrections is a government agency responsible for overseeing the incarceration, rehabilitation, and supervision of individuals convicted of crimes.
-
B.
Massachusetts executive secretariat
The Massachusetts executive secretariat is a high-level administrative department within the state’s executive branch that oversees and coordinates the policies, programs, and operations of a specific functional area of government.
-
C.
chief law officer
The chief law officer is the highest-ranking legal authority in an organization or government, responsible for overseeing legal strategy, ensuring compliance with laws and regulations, and providing authoritative legal advice to leadership.
-
D.
Surgeon General of the United States
The Surgeon General of the United States is the nation’s chief public health spokesperson, leading efforts to communicate scientific health information, advise the government and public on health policy, and oversee the U.S. Public Health Service Commissioned Corps.
-
E.
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.
- F. None of above. chosen
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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
Created at: March 20, 2026, 1:41 p.m.