Triple

T1923965
Position Surface form Disambiguated ID Type / Status
Subject Penn Jillette E40185 entity
Predicate hasRadioShow P30454 FINISHED
Object Penn Radio E214948 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: Penn Radio | Statement: [Penn Jillette, hasRadioShow, Penn Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penn Radio
Context triple: [Penn Jillette, hasRadioShow, Penn Radio]
  • A. Penn Radio chosen
    Penn Radio was a talk radio show hosted by magician and entertainer Penn Jillette, featuring his commentary, interviews, and comedic discussions on a wide range of topics.
  • B. Radio America
    Radio America is a U.S.-based conservative talk radio network known for syndicating political commentary and news programs.
  • C. CBS Radio
    CBS Radio was a major American radio network that became widely known for broadcasting President Franklin D. Roosevelt’s influential Fireside Chats and other national news and entertainment programs during the 20th century.
  • D. KDKA (AM)
    KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
  • E. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb0be848190a492ed8fa3b600ea completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.