Triple

T14184339
Position Surface form Disambiguated ID Type / Status
Subject Moscow International Film Festival E351535 entity
Predicate mainAwardFor P107 FINISHED
Object Best Film LITERAL 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 Film | Statement: [Moscow International Film Festival, mainAwardFor, Best Film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainAwardFor
Context triple: [Moscow International Film Festival, mainAwardFor, Best Film]
  • A. mainAwardWinner
    Indicates that the subject is the primary recipient of a specified award or honor.
  • B. awardFor chosen
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • C. holderAwardedFor
    Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
  • D. isAward
    Indicates that one entity functions as an award or prize that is given or conferred to another entity.
  • E. awardTo
    Indicates that an award, prize, or honor is given or assigned to a particular recipient.
  • F. None of above.

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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cc0a848190b660095972b1223b completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:03 a.m.