Triple

T9317860
Position Surface form Disambiguated ID Type / Status
Subject macOS Big Sur E224167 entity
Predicate includesApplication P14571 FINISHED
Object 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: Podcasts | Statement: [macOS Big Sur, includesApplication, Podcasts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podcasts
Context triple: [macOS Big Sur, includesApplication, Podcasts]
  • A. Pocket Casts
    Pocket Casts is a popular cross-platform podcast app known for its powerful discovery tools, playback controls, and syncing across devices.
  • B. 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.
  • C. Episodes
    Episodes is a British-American television sitcom that satirizes the U.S. entertainment industry as a British writing duo adapts their hit UK show for Hollywood, starring Tamsin Greig, Stephen Mangan, and Matt LeBlanc.
  • D. 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.
  • E. NPR One
    NPR One is a personalized, digital listening app and platform from NPR that curates public radio news, stories, and podcasts for on-demand streaming.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7b73ff881909e936374fd90a822 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.