Triple

T878285
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actress E18970 entity
Predicate trophyName P744 FINISHED
Object Oscar statuette E11086 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: Oscar statuette | Statement: [Academy Award for Best Supporting Actress, trophyName, Oscar statuette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar statuette
Context triple: [Academy Award for Best Supporting Actress, trophyName, Oscar statuette]
  • A. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • B. Brit Awards statuette
    The Brit Awards statuette is the iconic sculpted trophy presented to winners at the annual BRIT Awards, symbolizing achievement in the British music industry.
  • C. Golden Bear
    The Golden Bear is the top prize awarded to the best film at the prestigious Berlin International Film Festival, one of the world’s major annual film festivals.
  • D. Oscar chosen
    The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
  • E. OSCAR
    OSCAR is the proprietary messaging protocol developed by AOL to power its real-time chat and presence services across products like AIM and ICQ.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b854469c81908dc4a5c29ee140a4 completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.