Triple
T23482294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Volume |
E570438
|
entity |
| Predicate | distributesVia |
P1486
|
FINISHED |
| Object | Apple Podcasts |
—
|
NE NERFINISHED |
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 Podcasts | Statement: [The Volume, distributesVia, Apple Podcasts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Podcasts Context triple: [The Volume, distributesVia, Apple Podcasts]
-
A.
Apple Podcasts (macOS app)
chosen
Apple Podcasts is a dedicated macOS application for discovering, subscribing to, and listening to podcasts, offering curated content and library management separate from Apple’s music and media apps.
-
B.
Pocket Casts
Pocket Casts is a popular cross-platform podcast app known for its powerful discovery tools, playback controls, and syncing across devices.
-
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.
Google Podcasts
Google Podcasts is a podcast platform and app by Google that lets users discover, subscribe to, and listen to podcasts across multiple devices.
-
E.
iTunes Radio
iTunes Radio was Apple’s internet radio and music streaming service integrated into iTunes and iOS, offering personalized stations based on users’ listening preferences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a75118048190b4af687906c4e747 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.