Triple

T14183343
Position Surface form Disambiguated ID Type / Status
Subject Golden Bear for Best Film E351511 entity
Predicate partOf P40 FINISHED
Object Golden Bear awards 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 awards | Statement: [Golden Bear for Best Film, partOf, Golden Bear awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Bear awards
Context triple: [Golden Bear for Best Film, partOf, Golden Bear awards]
  • A. Golden Bear for Best Film
    The Golden Bear for Best Film is the top prize awarded to the best feature film in competition at the Berlin International Film Festival.
  • B. 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.
  • C. Golden Bear
    Golden Bear is the mascot representing Western New England University’s athletic teams and school spirit.
  • D. Goldener Bär
    Goldener Bär is the German name for the Golden Bear, the top prize awarded for the best film at the Berlin International Film Festival.
  • E. Akademi Puraskar
    Akademi Puraskar is India’s national-level award presented by the Sangeet Natak Akademi to honor outstanding achievement in the performing arts, including music, dance, and drama.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cc0a848190b660095972b1223b completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280656a881909c565b99e85ae9bd completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:03 a.m.