Triple

T13259662
Position Surface form Disambiguated ID Type / Status
Subject Debby Ryan E315753 entity
Predicate performedIn P795 FINISHED
Object Radio Rebel E1030029 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: Radio Rebel | Statement: [Debby Ryan, performedIn, Radio Rebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radio Rebel
Context triple: [Debby Ryan, performedIn, Radio Rebel]
  • A. Radio Rebel chosen
    Radio Rebel is a 2012 Disney Channel original teen comedy-drama film about a shy high school girl who secretly hosts a popular anonymous radio show that shakes up her school’s social scene.
  • B. Radio America
    Radio America is a U.S.-based conservative talk radio network known for syndicating political commentary and news programs.
  • C. Guerrilla Radio
    Guerrilla Radio is a politically charged rap metal song by Rage Against the Machine, known for its aggressive sound and anti-establishment lyrics.
  • D. Revolution Radio
    Revolution Radio is a politically charged punk rock album by Green Day, fronted by Billie Joe Armstrong, known for its themes of social unrest and personal reflection.
  • E. 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.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cac5388190a839ec1dbdcdbf82 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.