Triple
T13096300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Music |
E310597
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | MTV Hits |
E288474
|
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: MTV Hits | Statement: [MTV Music, relatedTo, MTV Hits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTV Hits Context triple: [MTV Music, relatedTo, MTV Hits]
-
A.
MTV Hits
chosen
MTV Hits is a music television channel focused on playing contemporary hit music videos and related pop culture programming.
-
B.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
C.
MTV Music
MTV Music is a music-focused television brand under the broader MTV network, dedicated primarily to airing music videos and related music programming.
-
D.
MTV Classic
MTV Classic is a television channel that primarily airs nostalgic music videos and programming from MTV’s earlier decades.
-
E.
Smash Hits
Smash Hits was a popular British music magazine aimed at teenagers, best known for its pop-focused coverage, song lyrics, and playful interviews during the 1980s and 1990s.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9814e88a0819088418c792ce7aa57 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d619b82c819093d0d98db88eb9ae |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:03 p.m.