Triple

T3610158
Position Surface form Disambiguated ID Type / Status
Subject Roma (2018 film) E76465 entity
Predicate awardReceived P11 FINISHED
Object Golden Lion E88544 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 Lion | Statement: [Roma (2018 film), awardReceived, Golden Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Lion
Context triple: [Roma (2018 film), 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. 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 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. César statuette
    The César statuette is the iconic sculpted trophy presented at France’s premier national film awards, symbolizing excellence in French 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433102b1c8190bf2b872c227d041a completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.