Triple

T21425087
Position Surface form Disambiguated ID Type / Status
Subject Jack Joseph Puig E528531 entity
Predicate employer P7 FINISHED
Object Waves Audio 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: Waves Audio | Statement: [Jack Joseph Puig, employer, Waves Audio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waves Audio
Context triple: [Jack Joseph Puig, employer, Waves Audio]
  • A. Waves Audio chosen
    Waves Audio is a leading audio technology company best known for its professional-grade plugins and software tools used in music production, mixing, and mastering.
  • B. Presonus
    Presonus is an audio equipment and software company best known for its digital audio workstations, studio hardware, and recording solutions for musicians and producers.
  • C. Antares Audio Technologies
    Antares Audio Technologies is a music software company best known for creating the influential pitch-correction tool Auto-Tune, widely used in both music production and vocal performance.
  • D. Strymon
    Strymon is the ancient name of the Struma River, a historically significant waterway in the Balkans that flows through Bulgaria and Greece into the Aegean Sea.
  • E. Behringer
    Behringer is a German surname borne by various notable individuals, including professional footballer Melanie Behringer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813c7a048190a400e364c8df1dcf completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.