Triple

T15931309
Position Surface form Disambiguated ID Type / Status
Subject Orizzonti Award for Best Film E386329 entity
Predicate partOf P40 FINISHED
Object Orizzonti section E82753 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: Orizzonti section | Statement: [Orizzonti Award for Best Film, partOf, Orizzonti section]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orizzonti section
Context triple: [Orizzonti Award for Best Film, partOf, Orizzonti section]
  • A. Orizzonti chosen
    Orizzonti is a competitive sidebar of the Venice Film Festival dedicated to showcasing cutting-edge, innovative, and trend-setting works in contemporary world cinema.
  • B. Horizon View
    Horizon View is a residential suburb located in Roodepoort, a city on the West Rand of Johannesburg, South Africa.
  • C. Horizons
    Horizons is a French centre-right political party founded by former prime minister Édouard Philippe, generally aligned with President Emmanuel Macron’s centrist majority.
  • D. Horizons
    Horizons is a showcase section of the Karlovy Vary International Film Festival that presents notable and acclaimed films from around the world outside the main competition.
  • E. Horizons
    Horizons was a beloved Epcot dark ride that offered guests an immersive, optimistic vision of future living through detailed scenes and advanced audio-animatronics.
  • 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_69ffb5b2a8888190824f2252b65920f2 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.