Triple

T15931225
Position Surface form Disambiguated ID Type / Status
Subject Osella d’Oro E386327 entity
Predicate hasAlternativeName P39 FINISHED
Object Golden Osella E82752 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 Osella | Statement: [Osella d’Oro, hasAlternativeName, Golden Osella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Osella
Context triple: [Osella d’Oro, hasAlternativeName, Golden Osella]
  • A. Golden Osella chosen
    The Golden Osella is a set of prestigious Venice Film Festival prizes historically awarded for achievements such as directing, screenwriting, and technical contributions in cinema.
  • B. Golde
    Golde is a central character in the musical and film "Fiddler on the Roof," known as Tevye’s practical and strong-willed wife in the fictional village of Anatevka.
  • C. Zlatý Bažant
    Zlatý Bažant is a well-known Slovak beer brand and brewery recognized for its long tradition and wide distribution in Central Europe.
  • D. Goldy
    Goldy is a central figure in Chester Himes’s crime novel "A Rage in Harlem," known for his involvement in a chaotic, darkly comic caper in 1950s Harlem.
  • E. Osko
    Osko is an Australian real-time payment service that enables fast, secure, and data-rich bank transfers between participating financial institutions.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a5b9348190962ddc1c35caf44f completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe727c348190907c9e7a5db6031d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.