Triple

T14183383
Position Surface form Disambiguated ID Type / Status
Subject Golden Bear (Berlinale) E351512 entity
Predicate alsoKnownAs P39 FINISHED
Object Goldener Bär E1083781 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: Goldener Bär | Statement: [Golden Bear (Berlinale), alsoKnownAs, Goldener Bär]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldener Bär
Context triple: [Golden Bear (Berlinale), alsoKnownAs, Goldener Bär]
  • A. Goldener Bär chosen
    Goldener Bär is the German name for the Golden Bear, the top prize awarded for the best film at the Berlin International Film Festival.
  • B. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • C. Palme d’Or
    The Palme d’Or is the highest prize awarded at the Cannes Film Festival, recognizing the best feature film in the festival’s official selection.
  • D. Silver Lion
    The Silver Lion is a prestigious mid-tier award presented at the Cannes Lions International Festival of Creativity to recognize outstanding creative work in advertising and communications.
  • E. Silver Lion
    The Silver Lion is a prestigious award presented at the Venice Film Festival, often recognizing outstanding directing or other notable achievements in cinema.
  • 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.