Triple

T6961971
Position Surface form Disambiguated ID Type / Status
Subject Adobe Fonts E161389 entity
Predicate formerName P65 FINISHED
Object Typekit E161389 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: Typekit | Statement: [Adobe Fonts, formerName, Typekit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Typekit
Context triple: [Adobe Fonts, formerName, Typekit]
  • A. Adobe Fonts chosen
    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. Avenir
    Avenir is Buick’s top-tier luxury sub-brand and trim line, offering more premium materials, advanced features, and upscale styling than the brand’s standard models.
  • C. Libre Baskerville
    Libre Baskerville is an open-source, web-optimized serif typeface that adapts the classic Baskerville design for modern digital use.
  • 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. Gill Sans
    Gill Sans is a widely used British humanist sans-serif typeface designed by Eric Gill, known for its clean, modern look and extensive use in signage and branding.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf07e3481909aa79b8e0f1b1be7 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.