Triple

T10453526
Position Surface form Disambiguated ID Type / Status
Subject Bright Star E246491 entity
Predicate sectionScreened P28181 FINISHED
Object Competition at 2009 Cannes Film Festival 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: Competition at 2009 Cannes Film Festival | Statement: [Bright Star, sectionScreened, Competition at 2009 Cannes Film Festival]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectionScreened
Context triple: [Bright Star, sectionScreened, Competition at 2009 Cannes Film Festival]
  • A. hasScreened chosen
    Indicates that one entity has shown, displayed, or evaluated another entity, typically in the context of presenting media or conducting a review or check.
  • B. screeningOutcome
    Indicates the result or decision produced by a screening or evaluation process applied to an entity.
  • C. screeningType
    Indicates the specific method or category of screening applied in a screening process or evaluation.
  • D. screeningBasis
    Indicates the underlying reason, criterion, or grounds on which a screening or evaluation is conducted between entities.
  • E. hasSecurityScreening
    Indicates that an entity is subject to, or has undergone, a security screening process.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
PD Predicate disambiguation batch_69d4fb7d353c8190a73f439a956c7606 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:17 p.m.