Triple

T13206278
Position Surface form Disambiguated ID Type / Status
Subject Carla (album) E314369 entity
Predicate associatedSound P22084 FINISHED
Object Memphis sound 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: Memphis sound | Statement: [Carla (album), associatedSound, Memphis sound]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedSound
Context triple: [Carla (album), associatedSound, Memphis sound]
  • A. followsSoundOf
    Indicates that one entity moves or directs its attention by tracking the source or direction of a sound produced by another entity.
  • B. hasSound chosen
    Indicates that an entity produces, emits, or is associated with a particular sound.
  • C. soundMotif
    Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
  • D. auditoryIconOf
    Indicates that one entity is an auditory icon that sonically represents, symbolizes, or stands in for another entity or concept.
  • E. soundEffects
    Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9b0cf08190a1d71cc94139539d completed April 10, 2026, 11:49 p.m.
PD Predicate disambiguation batch_69d98bc938f081909f123bdf1263ff7f completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:17 p.m.