Triple

T1300488
Position Surface form Disambiguated ID Type / Status
Subject Tré Cool E27750 entity
Predicate notableWork P4 FINISHED
Object Revolution Radio E21060 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: Revolution Radio | Statement: [Tré Cool, notableWork, Revolution Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revolution Radio
Context triple: [Tré Cool, notableWork, Revolution Radio]
  • A. Revolution Radio chosen
    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.
  • B. 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.
  • C. Against the Current
    Against the Current is a collection of essays by Isaiah Berlin that explores the history of ideas and the lives of influential thinkers who challenged prevailing intellectual orthodoxies.
  • D. 99 Revolutions
    "99 Revolutions" is a politically charged punk rock song by Green Day from their 2012 album ¡Tré!.
  • E. Radio Farda
    Radio Farda is a U.S.-funded Persian-language news radio service that broadcasts independent news and information to audiences in Iran.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c11314a48190ab4efb8b1acdce50 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.