Triple

T241607
Position Surface form Disambiguated ID Type / Status
Subject Amazon E4942 entity
Predicate product P490 FINISHED
Object Kindle
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
 E31214 NE FINISHED

How this triple was built (4 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 | Statement: [Amazon, product, Kindle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kindle
Context triple: [Amazon, product, Kindle]
  • A. iBook
    The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
  • B. iPod
    The iPod is a line of portable digital media players by Apple that revolutionized how people listen to and purchase music.
  • C. Chromebook
    Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
  • D. Ovi
    Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
  • E. iPad
    The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kindle
Triple: [Amazon, product, Kindle]
Generated description
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kindle
Target entity description: Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
  • A. iBook
    The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
  • B. iPod
    The iPod is a line of portable digital media players by Apple that revolutionized how people listen to and purchase music.
  • C. Chromebook
    Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
  • D. Ovi
    Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
  • E. iPad
    The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
  • F. None of above. chosen

Provenance (5 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36960563881908ef098239cd87291 completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a369d3b3448190bcf799ec9f4f8f76 completed Feb. 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69a36a3215508190be525ec8625e9a9f completed Feb. 28, 2026, 10:20 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.