Triple

T1447820
Position Surface form Disambiguated ID Type / Status
Subject Kindle E31214 entity
Predicate hasVariant P455 FINISHED
Object Kindle Scribe E31214 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: Kindle Scribe | Statement: [Kindle, hasVariant, Kindle Scribe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kindle Scribe
Context triple: [Kindle, hasVariant, Kindle Scribe]
  • A. Kindle chosen
    Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
  • B. Amazon Fire tablet
    The Amazon Fire tablet is a line of budget-friendly Android-based tablets by Amazon, designed for media consumption, reading, and integration with Amazon’s digital services.
  • C. Kindle Direct Publishing
    Kindle Direct Publishing is Amazon’s self-publishing platform that allows authors and publishers to independently publish and sell digital and print books directly to readers worldwide.
  • D. E Ink
    E Ink is a low-power electronic paper display technology that mimics the appearance of ink on paper and is widely used in e-readers and other devices requiring high readability.
  • E. Surface Book
    Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55aa7dc8190aa7452d80ec8305e completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a0adb0819096c560e8aa317016 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8 p.m.