Triple

T22439885
Position Surface form Disambiguated ID Type / Status
Subject Denon E554726 entity
Predicate partOf P40 FINISHED
Object Masimo Consumer 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: Masimo Consumer | Statement: [Denon, partOf, Masimo Consumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masimo Consumer
Context triple: [Denon, partOf, Masimo Consumer]
  • A. Masimo Corporation chosen
    Masimo Corporation is a global medical technology company best known for its innovative noninvasive patient monitoring devices and signal processing technologies used in hospitals and healthcare settings.
  • B. Medtronic
    Medtronic is a global medical technology company known for developing and manufacturing devices and therapies to treat a wide range of chronic diseases and conditions.
  • C. Cook Medical
    Cook Medical is a global medical device company specializing in minimally invasive technologies for a wide range of medical specialties.
  • D. Abiomed
    Abiomed is a medical device company best known for its heart support and circulatory assist technologies, including the Impella family of heart pumps.
  • E. Shenzhen Mindray Bio-Medical Electronics
    Shenzhen Mindray Bio-Medical Electronics is a leading Chinese medical device manufacturer specializing in patient monitoring, in-vitro diagnostics, and medical imaging equipment for hospitals and healthcare providers worldwide.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae0edcc8190919b198035de0df2 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.