Triple

T38517534
Position Surface form Disambiguated ID Type / Status
Subject Media Composer | First E922378 entity
Predicate userInterfaceSimilarity P48597 FINISHED
Object Avid Media Composer 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: Avid Media Composer | Statement: [Media Composer | First, userInterfaceSimilarity, Avid Media Composer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: userInterfaceSimilarity
Context triple: [Media Composer | First, userInterfaceSimilarity, Avid Media Composer]
  • A. userInterfaceSimilarTo chosen
    Indicates that one user interface resembles or closely matches another in appearance, layout, or interaction style.
  • B. userInterface
    Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
  • C. lessSimilarTo
    Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
  • D. hasSimilarityTo
    Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
  • E. faceResemblance
    Indicates that one entity’s facial appearance is similar to or resembles that of another entity.
  • 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_69f76ea5f5588190bd0b28c82e975640 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:32 p.m.