Triple

T321479
Position Surface form Disambiguated ID Type / Status
Subject Sony VAIO computers E6423 entity
Predicate marketedAs P1395 FINISHED
Object VAIO E6423 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: VAIO | Statement: [Sony VAIO computers, marketedAs, VAIO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAIO
Context triple: [Sony VAIO computers, marketedAs, VAIO]
  • A. Sony VAIO computers chosen
    Sony VAIO computers are a line of consumer and professional laptops and desktops from Sony known for their stylish design, multimedia capabilities, and integration of advanced connectivity features.
  • B. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • C. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • D. Sony
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • E. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea81a1e88190b3496070eb3d85f5 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cb006f348190b2e8901eb2ced9f3 completed March 1, 2026, 5:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.