Triple

T17177985
Position Surface form Disambiguated ID Type / Status
Subject David di Donatello Award E416909 entity
Predicate hasAwardCategory P107 FINISHED
Object Best Short Film E683791 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: Best Short Film | Statement: [David di Donatello Award, hasAwardCategory, Best Short Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Best Short Film
Context triple: [David di Donatello Award, hasAwardCategory, Best Short Film]
  • A. Best Short Film chosen
    Best Short Film is an award category recognizing outstanding achievement in short filmmaking.
  • B. Short Film Award
    The Short Film Award is a prize presented at the Warsaw Film Festival recognizing outstanding achievements in short filmmaking.
  • C. Best Animated Short Subject
    Best Animated Short Subject is an Annie Award category that honors outstanding achievement in short-form animated filmmaking.
  • D. Golden Calf for Best Short Film
    The Golden Calf for Best Short Film is a prestigious Dutch film award presented at the Netherlands Film Festival to honor outstanding achievement in short filmmaking.
  • E. Best British Short Film
    Best British Short Film is a British Independent Film Awards category that honors outstanding short films produced in the United Kingdom.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148455afc8190931ba1316705ae0c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.