Triple

T16960308
Position Surface form Disambiguated ID Type / Status
Subject Luce newsreels E411409 entity
Predicate screenedBefore P125391 FINISHED
Object feature films 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: feature films | Statement: [Luce newsreels, screenedBefore, feature films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenedBefore
Context triple: [Luce newsreels, screenedBefore, feature films]
  • A. hasScreened
    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. screenedWith
    Indicates that one entity is examined, tested, or evaluated using another entity as the screening method, tool, or criterion.
  • C. screenedAtSection
    Indicates that something (such as a film, video, or media item) is shown or presented in a specific section or subdivision of a larger event or venue.
  • D. firstScreenedAs
    Indicates that an entity was initially shown, presented, or tested in a particular screening context or medium.
  • E. hasSecurityScreening
    Indicates that an entity is subject to, or has undergone, a security screening process.
  • F. None of above. chosen

Provenance (4 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01f9ba881908dc8820b92869a63 completed April 18, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69e32b9aa8748190b248890aca86753d completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e355722040819098830dabf207ecd6 completed April 18, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:31 a.m.