Triple

T4109853
Position Surface form Disambiguated ID Type / Status
Subject Golden Lion E88544 entity
Predicate hasItalianName P17612 FINISHED
Object Leone d’Oro 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: Leone d’Oro | Statement: [Golden Lion, hasItalianName, Leone d’Oro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leone d’Oro
Context triple: [Golden Lion, hasItalianName, Leone d’Oro]
  • A. Osella d’Oro
    Osella d’Oro is the Italian name for the Golden Osella, a prestigious prize historically associated with the Venice Film Festival.
  • B. Golden Lion chosen
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • C. 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.
  • D. 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.
  • E. El Pardo
    El Pardo is a historic royal site and forested area on the outskirts of Madrid, Spain, known for its former royal palace and extensive protected natural surroundings.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.