Triple

T22209676
Position Surface form Disambiguated ID Type / Status
Subject Kim Ki-duk E548906 entity
Predicate awardReceived P11 FINISHED
Object Golden Lion NE NERFINISHED

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 Lion | Statement: [Kim Ki-duk, awardReceived, Golden Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Lion
Context triple: [Kim Ki-duk, awardReceived, Golden Lion]
  • A. Golden Lion chosen
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • B. 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.
  • C. 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.
  • D. Gold Lion
    Gold Lion is a top-tier award presented at the Cannes Lions International Festival of Creativity to honor outstanding excellence in advertising and creative communications.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.