Triple
T3666090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bixby |
E77760
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Bixby Marketplace |
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 Marketplace | Statement: [Bixby, hasComponent, Bixby Marketplace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bixby Marketplace Context triple: [Bixby, hasComponent, Bixby Marketplace]
-
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.
BARD Mobile app
The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
-
D.
Alexa
Alexa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Alexandra.
-
E.
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.
- 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_69b4f021fe148190af7ba4b36caa0ce2 |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:25 p.m.