Triple

T7421367
Position Surface form Disambiguated ID Type / Status
Subject Quattro Pro E171253 entity
Predicate ownedBy P347 FINISHED
Object Corel E552758 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: Corel | Statement: [Quattro Pro, ownedBy, Corel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corel
Context triple: [Quattro Pro, ownedBy, Corel]
  • A. Corel Centre
    Corel Centre was the original name of the multi-purpose arena in Ottawa, Ontario, that serves as the home of the NHL’s Ottawa Senators.
  • B. CorelDRAW
    CorelDRAW is a widely used vector graphics editor developed by Corel, known for its comprehensive design tools for illustration, layout, and typography.
  • C. Corel Corporation chosen
    Corel Corporation is a Canadian software company best known for products like CorelDRAW and WordPerfect.
  • D. Corel WordPerfect Office
    Corel WordPerfect Office is an office productivity suite by Corel that includes word processing, spreadsheet, presentation, and related tools, historically popular as an alternative to Microsoft Office.
  • E. Adobe Photoshop Elements
    Adobe Photoshop Elements is a simplified, consumer-oriented version of Adobe’s photo editing software designed to offer powerful yet easy-to-use tools for organizing, editing, and sharing images.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277c92788190bcd36cfa461b4d95 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:11 p.m.