Triple

T3769044
Position Surface form Disambiguated ID Type / Status
Subject Venice Biennale E82750 entity
Predicate notableFor P22 FINISHED
Object Golden Lion award 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 award | Statement: [Venice Biennale, notableFor, Golden Lion award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Lion award
Context triple: [Venice Biennale, notableFor, Golden Lion award]
  • 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. David di Donatello for Best Foreign Film
    The David di Donatello for Best Foreign Film is an Italian film award presented annually to honor the most outstanding non-Italian feature released in Italy.
  • E. Volpi Cup awards
    The Volpi Cup awards are prestigious acting honors presented at the Venice Film Festival, recognizing outstanding performances by film actors and actresses.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2d4b848190bf63fb3ed5d3b2d9 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.