Triple

T18506312
Position Surface form Disambiguated ID Type / Status
Subject Shifty Jelly E452205 entity
Predicate mergedInto P77 FINISHED
Object Pocket Casts team 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: Pocket Casts team | Statement: [Shifty Jelly, mergedInto, Pocket Casts team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pocket Casts team
Context triple: [Shifty Jelly, mergedInto, Pocket Casts team]
  • 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. Podcast Media Pty Ltd chosen
    Podcast Media Pty Ltd is the Australian software company best known for creating and maintaining the popular podcast app Pocket Casts.
  • C. Apple Podcasts (macOS app)
    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.
  • D. Ion Media
    Ion Media is a U.S.-based television broadcasting company best known for operating the Ion Television network and a portfolio of nationwide broadcast stations.
  • E. 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.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5334266708190b59aca3a2218c095 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.