Triple
T16373282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Modernization Act |
E397615
|
entity |
| Predicate | affects |
P9
|
FINISHED |
| Object | Amazon Music |
E31211
|
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: Amazon Music | Statement: [Music Modernization Act, affects, Amazon Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Music Context triple: [Music Modernization Act, affects, Amazon Music]
-
A.
Amazon Music
chosen
Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
-
B.
Spotify
Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
-
C.
BandPlay
BandPlay is a hip-hop music producer best known for crafting hard-hitting trap beats for artists like Key Glock.
-
D.
Apple Music
Apple Music is a music and audio streaming platform offering on-demand songs, curated playlists, radio, and exclusive content across Apple and other devices.
-
E.
Boomplay
Boomplay is a leading African music streaming and download service offering a vast catalog of songs, videos, and curated playlists primarily focused on African artists and audiences.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d559788190bd96c45ff0900fe6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003561f83481909223c99bb83ebdf4 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.