Triple

T20098672
Position Surface form Disambiguated ID Type / Status
Subject Sonos Roam E496474 entity
Predicate supports P516 FINISHED
Object Amazon Alexa 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: Amazon Alexa | Statement: [Sonos Roam, supports, Amazon Alexa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Alexa
Context triple: [Sonos Roam, supports, Amazon 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. Amazon Echo
    Amazon Echo is a line of smart speakers developed by Amazon that features the voice-controlled virtual assistant Alexa for tasks like playing music, controlling smart home devices, and answering questions.
  • D. 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.
  • E. Amazon Alexa Skills
    Amazon Alexa Skills are voice-driven apps that extend Alexa’s capabilities, enabling users to perform a wide range of tasks and access services through spoken commands.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.