Triple

T3536057
Position Surface form Disambiguated ID Type / Status
Subject The Always Sunny Podcast E74774 entity
Predicate originalNetwork P2594 FINISHED
Object Apple Podcasts E238848 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 Podcasts | Statement: [The Always Sunny Podcast, originalNetwork, Apple Podcasts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Podcasts
Context triple: [The Always Sunny Podcast, originalNetwork, 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
    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.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc4c1d081908938efb71938e1a3 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd237e881909df210a42346b572 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.