Triple

T660863
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actor E11751 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 Actor, 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 Actor, trophyName, Oscar statuette]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Silver Bear
    The Silver Bear is one of the top prizes awarded at the Berlin International Film Festival, recognizing outstanding achievements in various categories such as acting, directing, and artistic contribution.
  • E. Emmy
    Emmy is the affectionate nickname of Emmy Noether, the pioneering German mathematician renowned for her groundbreaking contributions to abstract algebra and theoretical physics.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa954988190841740a587ace466 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc98e43881909fbc74750f4b6e3b completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.