Triple
T21302335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Feinstein |
E525098
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Comedy Central |
—
|
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: Comedy Central | Statement: [Rachel Feinstein, employer, Comedy Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comedy Central Context triple: [Rachel Feinstein, employer, Comedy Central]
-
A.
Comedy Central
chosen
Comedy Central is an American cable television channel known for its stand-up specials, sketch shows, and satirical series such as The Daily Show and South Park.
-
B.
Comedy Central Presents
Comedy Central Presents is a stand-up comedy television series featuring half-hour specials from a wide range of comedians, aired on the Comedy Central network.
-
C.
Funny or Die
Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
-
D.
FXX
FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
-
E.
Cartoon Network
Cartoon Network is an American cable television channel known for airing animated series and original cartoons for children and young audiences.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.