Triple
T35391011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Hanscomb |
E1022937
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Connecticut politician |
C66165
|
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: Connecticut politician Context triple: [Rodney Hanscomb, instanceOf, Connecticut politician]
-
A.
New Jersey politician
A New Jersey politician is a public official or candidate who represents the interests of constituents within the state of New Jersey at the local, state, or federal level through the creation, advocacy, and implementation of public policy.
-
B.
New York State politician
A New York State politician is a public official elected or appointed to create, influence, and implement laws and policies within the governmental institutions of New York State.
-
C.
Pennsylvania politician
A Pennsylvania politician is a public official or candidate who represents the interests of constituents within the Commonwealth of Pennsylvania at the local, state, or federal level through legislative, executive, or party roles.
-
D.
South Carolina politician
A South Carolina politician is an individual who holds or seeks public office in the state of South Carolina, participating in the creation, implementation, or advocacy of governmental policies at the local, state, or federal level.
-
E.
Californio politician
A Californio politician is a public official or political leader of Hispanic Californian heritage, particularly descended from the Spanish or Mexican-era residents of California, who engages in governance, policy-making, or political advocacy within the region.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.