Triple

T21965811
Position Surface form Disambiguated ID Type / Status
Subject César Award for Best Editing E542452 entity
Predicate hasCategory P87 FINISHED
Object Best Editing NE NERFINISHED

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: Best Editing | Statement: [César Award for Best Editing, hasCategory, Best Editing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Best Editing
Context triple: [César Award for Best Editing, hasCategory, Best Editing]
  • A. Best Editing chosen
    Best Editing is an MTV Video Music Awards category that honors outstanding achievement in the editing of a music video.
  • B. David di Donatello for Best Editing
    The David di Donatello for Best Editing is a major Italian film award recognizing outstanding achievement in film editing.
  • C. BAFTA Award for Best Editing
    The BAFTA Award for Best Editing is a British Academy Film Award presented annually to honor outstanding achievement in film editing.
  • D. Satellite Award for Best Editing
    The Satellite Award for Best Editing is an annual honor presented by the International Press Academy recognizing outstanding achievement in film editing.
  • E. Nastro d'Argento for Best Editing
    The Nastro d'Argento for Best Editing is a prestigious Italian film award presented annually by the Italian National Syndicate of Film Journalists to honor outstanding achievement in film editing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245aabf88190a44564e6eaaa94ce completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.