Triple

T3603167
Position Surface form Disambiguated ID Type / Status
Subject Howard Stern E76304 entity
Predicate employer P7 FINISHED
Object SiriusXM Radio E171149 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: SiriusXM Radio | Statement: [Howard Stern, employer, SiriusXM Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SiriusXM Radio
Context triple: [Howard Stern, employer, SiriusXM Radio]
  • A. 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.
  • B. SIRIUS
    SIRIUS is a Siemens modular system of industrial control and protection devices used for motor control, switching, and circuit protection in automation and power distribution applications.
  • C. iHeartRadio
    iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
  • 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. AP Radio
    AP Radio is the radio news network of the Associated Press, providing audio news reports and bulletins to broadcast stations.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1df08a48190a4a4a20c8821b321 completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4031dce448190b112ba4d5fa16ee0 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.