Triple
T30932918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Levinson |
E788043
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | character from The Office (U.S.) |
C1104
|
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: character from The Office (U.S.) Context triple: [Jan Levinson, instanceOf, character from The Office (U.S.)]
-
A.
character from Solar Opposites
A character from Solar Opposites is an eccentric, often morally ambiguous alien or human whose exaggerated personality and absurd situations satirize contemporary culture and everyday life.
-
B.
The Simpsons character
A Simpsons character is a fictional resident of the animated town of Springfield, defined by exaggerated personality traits, distinctive visual design, and recurring roles in the satirical world of The Simpsons.
-
C.
Family Guy character
A Family Guy character is a fictional person or anthropomorphic being from the animated television series "Family Guy," defined by exaggerated traits, comedic behavior, and relationships within the show's satirical depiction of American family and society.
-
D.
NCIS character
An NCIS character is a fictional individual who works within or interacts closely with the Naval Criminal Investigative Service, contributing to the investigation and resolution of crimes involving the U.S. Navy and Marine Corps.
-
E.
television character
chosen
A television character is a fictional or dramatized persona created for and portrayed within a TV program, contributing to its narrative, themes, and audience engagement.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:52 p.m.