Triple
T13756927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Hits One |
E330499
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | VH-1 |
E65444
|
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: VH-1 | Statement: [Video Hits One, formerName, VH-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VH-1 Context triple: [Video Hits One, formerName, VH-1]
-
A.
VH1
chosen
VH1 is an American cable television network known for music-related programming and pop culture reality shows.
-
B.
Viceland
Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
-
C.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
D.
MTV2
MTV2 is an American cable television channel that originally focused on alternative and rock music videos and later expanded to feature a mix of music, comedy, and reality programming aimed at a younger audience.
-
E.
MTV3
MTV3 is one of Finland’s largest commercial television channels, known for its wide range of entertainment, news, and sports 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d0757c8190b470bca2af9b3c96 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:09 p.m.