Triple

T18161821
Position Surface form Disambiguated ID Type / Status
Subject Greg Maffei E434783 entity
Predicate employer P7 FINISHED
Object Sirius XM Holdings 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: Sirius XM Holdings | Statement: [Greg Maffei, employer, Sirius XM Holdings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirius XM Holdings
Context triple: [Greg Maffei, employer, Sirius XM Holdings]
  • A. Cumulus Media
    Cumulus Media is a major American broadcasting company that owns and operates numerous radio stations across the United States.
  • B. Pandora Media, Inc.
    Pandora Media, Inc. is an internet radio and music streaming company best known for its personalized music recommendation service based on the Music Genome Project.
  • C. SiriusXM chosen
    SiriusXM is a satellite and online radio broadcasting company in North America that offers a wide range of music, sports, news, and talk channels by subscription.
  • D. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • E. Clear Channel Entertainment
    Clear Channel Entertainment was a major live-entertainment company (later part of Live Nation) that produced and promoted large-scale theatrical productions, concerts, and touring events.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec32530819099d906640a07e92c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.