Triple
T5016548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Music |
E112751
|
entity |
| Predicate | competitor |
P1375
|
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: [Apple Music, competitor, Amazon Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Music Context triple: [Apple Music, competitor, 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.
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.
-
D.
Rdio
Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
-
E.
AirTunes
AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea473a1708190aaf4a021fec472c6 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:35 p.m.