Triple
T8989188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Expensivest |
E214745
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object |
Viceland
Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
|
E772093
|
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: Viceland | Statement: [Most Expensivest, originalNetwork, Viceland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viceland Context triple: [Most Expensivest, originalNetwork, Viceland]
-
A.
Bounce TV
Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
-
B.
The Vine
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
C.
VH1
VH1 is an American cable television network known for music-related programming and pop culture reality shows.
-
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.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
- 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: Viceland Triple: [Most Expensivest, originalNetwork, Viceland]
Generated description
Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viceland Target entity description: Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
-
A.
Bounce TV
Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
-
B.
The Vine
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
C.
VH1
VH1 is an American cable television network known for music-related programming and pop culture reality shows.
-
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.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c58c94819095979b82a50cb77d |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd1a32a64819090d423a99ab75362 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd250593881908312200ba7bba617 |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:04 p.m.