Triple

T3666089
Position Surface form Disambiguated ID Type / Status
Subject Bixby E77760 entity
Predicate hasComponent P35 FINISHED
Object Bixby Home E77760 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: Bixby Home | Statement: [Bixby, hasComponent, Bixby Home]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bixby Home
Context triple: [Bixby, hasComponent, Bixby Home]
  • A. Bixby Vision
    Bixby Vision is Samsung’s image-recognition and augmented reality feature that lets users identify objects, translate text, and obtain contextual information through their device’s camera.
  • B. Bixby chosen
    Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
  • C. Nest Audio
    Nest Audio is a smart speaker by Google that offers high-quality sound and voice-controlled access to Google services and smart home features.
  • D. 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.
  • E. Alexa
    Alexa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Alexandra.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc40188988190b1b7ac9c8240a5ff completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e0abd08190895897c62a7a5243 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.