Triple

T22659188
Position Surface form Disambiguated ID Type / Status
Subject AVM1 E559315 entity
Predicate developedBy P73 FINISHED
Object Adobe Systems NE NERFINISHED

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: Adobe Systems | Statement: [AVM1, developedBy, Adobe Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Systems
Context triple: [AVM1, developedBy, Adobe Systems]
  • A. Adobe Inc. chosen
    Adobe Inc. is a multinational software company best known for its creative and multimedia products such as Photoshop, Illustrator, and Acrobat, widely used in digital media and design industries.
  • B. Adobe Group
    Adobe Group is an archaeological architectural complex at Mitla characterized by its adobe-constructed structures and distinctive pre-Hispanic design.
  • C. Corel Corporation
    Corel Corporation is a Canadian software company best known for products like CorelDRAW and WordPerfect.
  • D. Aldus Corporation
    Aldus Corporation was a pioneering desktop publishing software company best known for creating PageMaker and helping popularize graphical user interfaces in publishing.
  • E. Macromedia
    Macromedia was a pioneering software company best known for creating web and multimedia tools like Flash and Dreamweaver before being acquired by Adobe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765dc9088190b022ac564a8b5c26 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.