Triple

T6535589
Position Surface form Disambiguated ID Type / Status
Subject New Currents Award E152351 entity
Predicate festivalSection P9823 FINISHED
Object New Currents E152348 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: New Currents | Statement: [New Currents Award, festivalSection, New Currents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Currents
Context triple: [New Currents Award, festivalSection, New Currents]
  • A. New Currents chosen
    New Currents is the main competition section of the Busan International Film Festival, showcasing first or second features by emerging Asian filmmakers.
  • B. Currents
    Currents is a New York Film Festival program section dedicated to innovative, experimental, and boundary-pushing contemporary cinema and media art.
  • C. Against the Current
    Against the Current is an American pop rock band known for its energetic, melodic sound and strong online following built through YouTube and social media.
  • D. 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.
  • E. The Coming Wave
    The Coming Wave is a nonfiction book by AI pioneer Mustafa Suleyman that explores the transformative power and potential risks of rapidly advancing technologies like artificial intelligence and synthetic biology.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc238688190aca143b22b8a399c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d532b5348190986cf30883ed147b completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:46 p.m.