Triple

T1501623
Position Surface form Disambiguated ID Type / Status
Subject ESPN Radio E33807 entity
Predicate availableOn P1278 FINISHED
Object TuneIn E165146 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: TuneIn | Statement: [ESPN Radio, availableOn, TuneIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TuneIn
Context triple: [ESPN Radio, availableOn, TuneIn]
  • A. TuneIn chosen
    TuneIn is a streaming service that provides live radio, music, news, sports, and podcasts from stations and creators around the world across multiple devices and platforms.
  • B. FM & AM
    FM & AM is a 1972 stand-up comedy album by George Carlin that marked his transition from traditional, mainstream material to the more countercultural, observational style that defined his later career.
  • C. Radio Sawa
    Radio Sawa is a U.S.-funded Arabic-language radio network that broadcasts news, music, and information to audiences across the Middle East and North Africa.
  • D. Deezer
    Deezer is a global music streaming service offering on-demand access to a large catalog of songs, playlists, and podcasts across multiple platforms.
  • E. Pocket Casts
    Pocket Casts is a popular cross-platform podcast app known for its powerful discovery tools, playback controls, and syncing across devices.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872e41848190b35b37f32aef784f completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb3c5908190b3d5fe7a4dcaa234 completed March 8, 2026, 6:52 a.m.
Created at: March 4, 2026, 7:24 p.m.