Triple
T5100755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | audioOS |
E114974
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Apple Music |
E20627
|
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: Apple Music | Statement: [audioOS, integratesWith, Apple Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Music Context triple: [audioOS, integratesWith, Apple Music]
-
A.
Apple Music
chosen
Apple Music is a music and audio streaming platform offering on-demand songs, curated playlists, radio, and exclusive content across Apple and other devices.
-
B.
iTunes
iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
-
C.
AirTunes
AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
-
D.
Spotify
Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
-
E.
Amazon Music
Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd758381dc8190ac491788d27ab8e0 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186790248190bc94cfbecf3cfe73 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:40 p.m.