Triple

T7088932
Position Surface form Disambiguated ID Type / Status
Subject Echo Show E165142 entity
Predicate brand P1500 FINISHED
Object Amazon Echo E167144 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: Amazon Echo | Statement: [Echo Show, brand, Amazon Echo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Echo
Context triple: [Echo Show, brand, Amazon Echo]
  • A. Amazon Echo chosen
    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.
  • B. Echo Dot
    Echo Dot is a compact, voice-controlled smart speaker by Amazon that uses the Alexa virtual assistant to play audio, control smart-home devices, answer questions, and more.
  • C. Alexa
    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.
  • D. Alexa
    Alexa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Alexandra.
  • E. Echo Show
    Echo Show is Amazon’s smart display device that combines Alexa voice assistance with a touchscreen for visual interactions like video calls, streaming, and smart home control.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e52ec0348190ac090c2fee3edfb8 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31e3fec8190b22da130f7cbaaf9 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:41 p.m.