Triple
T1627333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramount Network |
E35175
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object |
CMT
CMT (Country Music Television) is an American cable channel primarily dedicated to country music videos, concerts, and related lifestyle programming.
|
E184624
|
NE FINISHED |
How this triple was built (4 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: CMT | Statement: [Paramount Network, sisterChannel, CMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMT Context triple: [Paramount Network, sisterChannel, CMT]
-
A.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
B.
CM
CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
-
C.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
D.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
E.
Country Music Association
The Country Music Association is a trade organization that promotes country music and organizes major industry events, including one of the genre’s most prestigious annual awards shows.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CMT Triple: [Paramount Network, sisterChannel, CMT]
Generated description
CMT (Country Music Television) is an American cable channel primarily dedicated to country music videos, concerts, and related lifestyle programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMT Target entity description: CMT (Country Music Television) is an American cable channel primarily dedicated to country music videos, concerts, and related lifestyle programming.
-
A.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
B.
CM
CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
-
C.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
D.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
E.
Country Music Association
The Country Music Association is a trade organization that promotes country music and organizes major industry events, including one of the genre’s most prestigious annual awards shows.
- F. None of above. chosen
Provenance (5 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d12e808190a1319b1c87bcd22e |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad59fede48819084a163ff73fbc1da |
completed | March 8, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5a85071c8190bab5cefcd918bb8d |
completed | March 8, 2026, 11:16 a.m. |
Created at: March 4, 2026, 7:28 p.m.