Triple

T2590719
Position Surface form Disambiguated ID Type / Status
Subject Gavin Hood E58113 entity
Predicate nominatedFor P1791 FINISHED
Object Golden Bear E70477 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: Golden Bear | Statement: [Gavin Hood, nominatedFor, Golden Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Bear
Context triple: [Gavin Hood, nominatedFor, Golden Bear]
  • A. Golden Bear chosen
    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. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • C. Oscar
    The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
  • D. Oscar
    Oscar is the Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
  • E. 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.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd40075f08190b760cb41c1417169 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6589a9c48190b16b5b7959096aab completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.