Triple

T20331654
Position Surface form Disambiguated ID Type / Status
Subject Beats Studio Buds+ E492497 entity
Predicate supportsVoiceAssistant P203 FINISHED
Object Alexa E31217 NE 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: Alexa | Statement: [Beats Studio Buds+, supportsVoiceAssistant, Alexa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexa
Context triple: [Beats Studio Buds+, supportsVoiceAssistant, Alexa]
  • A. Alexa
    Alexa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Alexandra.
  • B. Alexa chosen
    Alexa is Amazon’s cloud-based virtual assistant that uses voice interaction to control smart devices, answer questions, and perform a variety of digital tasks.
  • C. Alexa Voice Service
    Alexa Voice Service is Amazon’s cloud-based voice recognition and natural language processing platform that powers Alexa-enabled devices and allows developers to integrate voice control into their products.
  • D. Siri
    Siri is Apple's intelligent voice-controlled virtual assistant that performs tasks, answers questions, and controls devices across the Apple ecosystem.
  • E. alexa.com
    alexa.com was a popular web analytics and traffic ranking website that provided insights into the popularity and audience metrics of millions of websites worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086953ed6c8190bb9a33b2fc2f09e5 completed May 16, 2026, 12:55 p.m.
Created at: April 16, 2026, 11:22 a.m.