Triple

T9199477
Position Surface form Disambiguated ID Type / Status
Subject Penn E220799 entity
Predicate notableWork P4 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, notableWork, Penn Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penn Radio
Context triple: [Penn, notableWork, 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. Pacifica Radio
    Pacifica Radio is a pioneering, listener-supported American radio network known for its progressive programming and landmark role in U.S. free speech and broadcast indecency jurisprudence.
  • C. NBC Radio
    NBC Radio was a major American radio network that broadcast national news, entertainment, and sports programming throughout much of the 20th century.
  • D. Radio America
    Radio America is a U.S.-based conservative talk radio network known for syndicating political commentary and news programs.
  • E. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c40267c8190926f4d5c912d0f45 completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.