Triple
T18372940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKRP in Cincinnati |
E446231
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Arthur Carlson |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arthur Carlson | Statement: [WKRP in Cincinnati, hasMainCharacter, Arthur Carlson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Carlson Context triple: [WKRP in Cincinnati, hasMainCharacter, Arthur Carlson]
-
A.
Arthur Carlson
chosen
Arthur Carlson is a bumbling yet endearing radio station manager character from the WKRP in Cincinnati television franchise.
-
B.
Carl Carlson
Carl Carlson is a recurring character on the animated television series "The Simpsons," known as Homer Simpson’s co-worker and friend at the Springfield Nuclear Power Plant.
-
C.
Robert James Carlson
Robert James Carlson is an American prelate of the Roman Catholic Church who served as the Archbishop of St. Louis.
-
D.
Ron Carlson
Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
-
E.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517561edc8190b5d2834707ab662b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.