Triple

T3451625
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy E72804 entity
Predicate supportsService P203 FINISHED
Object Bixby 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 | Statement: [Samsung Galaxy, supportsService, Bixby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bixby
Context triple: [Samsung Galaxy, supportsService, Bixby]
  • A. 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.
  • B. Siri
    Siri is Apple's intelligent voice-controlled virtual assistant that performs tasks, answers questions, and controls devices across the Apple ecosystem.
  • 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. Watson
    Watson is a common English surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • E. WATSON
    WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360ef69308190a11f37ddbf3bbc7b completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.