Triple
T4101768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comedy Central |
E87956
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | The Comedy Channel |
E87956
|
NE FINISHED |
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: The Comedy Channel | Statement: [Comedy Central, formerName, The Comedy Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Comedy Channel Context triple: [Comedy Central, formerName, The Comedy Channel]
-
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.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
-
C.
MeTV
MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
-
D.
La Quinta Channel
La Quinta Channel is a deep-draft shipping channel in the Corpus Christi, Texas area that serves industrial and port facilities along the Gulf Coast.
-
E.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd1012208190ab0980c661d6bc41 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7833b081909bf5a87ee709b49f |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.