Triple

T2634486
Position Surface form Disambiguated ID Type / Status
Subject Johnston typeface E59711 entity
Predicate alsoKnownAs P39 FINISHED
Object Underground Sans E59711 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: Underground Sans | Statement: [Johnston typeface, alsoKnownAs, Underground Sans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Underground Sans
Context triple: [Johnston typeface, alsoKnownAs, Underground Sans]
  • A. Lato
    Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
  • B. Johnston typeface chosen
    Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
  • C. TMU Bold
    TMU Bold is the varsity athletics program representing Toronto Metropolitan University in intercollegiate sports competitions.
  • D. Caslon
    Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
  • E. 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.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e085b0819089db4103c0d8cd9b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.