Triple

T11909532
Position Surface form Disambiguated ID Type / Status
Subject Monotype E283356 entity
Predicate owns P347 FINISHED
Object MyFonts
MyFonts is a major online marketplace and distributor of digital fonts, offering typefaces from numerous foundries and independent designers.
E952987 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: MyFonts | Statement: [Monotype, owns, MyFonts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MyFonts
Context triple: [Monotype, owns, MyFonts]
  • A. Adobe Fonts
    Adobe Fonts is a subscription-based online font library and management service offering thousands of high-quality typefaces for use across desktop and web design projects.
  • B. Font Bureau
    Font Bureau is an independent type foundry known for designing and distributing a wide range of professional digital typefaces used in publishing, branding, and user interfaces.
  • C. Font Book
    Font Book is a macOS application used to manage, preview, install, and organize fonts on a Mac.
  • D. Cales Fonts
    Cales Fonts is a picturesque natural harbor and waterfront area in Es Castell, Menorca, known for its seaside restaurants, bars, and scenic views.
  • E. RealFont
    RealFont is an API-based font management solution that enables developers to programmatically access, organize, and utilize fonts within their applications.
  • 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: MyFonts
Triple: [Monotype, owns, MyFonts]
Generated description
MyFonts is a major online marketplace and distributor of digital fonts, offering typefaces from numerous foundries and independent designers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MyFonts
Target entity description: MyFonts is a major online marketplace and distributor of digital fonts, offering typefaces from numerous foundries and independent designers.
  • A. Adobe Fonts
    Adobe Fonts is a subscription-based online font library and management service offering thousands of high-quality typefaces for use across desktop and web design projects.
  • B. Font Bureau
    Font Bureau is an independent type foundry known for designing and distributing a wide range of professional digital typefaces used in publishing, branding, and user interfaces.
  • C. Font Book
    Font Book is a macOS application used to manage, preview, install, and organize fonts on a Mac.
  • D. Cales Fonts
    Cales Fonts is a picturesque natural harbor and waterfront area in Es Castell, Menorca, known for its seaside restaurants, bars, and scenic views.
  • E. RealFont
    RealFont is an API-based font management solution that enables developers to programmatically access, organize, and utilize fonts within their applications.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.