Triple

T11909658
Position Surface form Disambiguated ID Type / Status
Subject Gill Sans E283359 entity
Predicate inspiredBy P9 FINISHED
Object Johnston 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: Johnston Sans | Statement: [Gill Sans, inspiredBy, Johnston Sans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnston Sans
Context triple: [Gill Sans, inspiredBy, Johnston Sans]
  • A. 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.
  • B. Libre Baskerville
    Libre Baskerville is an open-source, web-optimized serif typeface that adapts the classic Baskerville design for modern digital use.
  • C. 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.
  • D. Lato
    Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
  • E. 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.
  • 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_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_69f47195df0c8190a27abfe58f221f59 completed May 1, 2026, 9:25 a.m.
Created at: April 8, 2026, 9:44 p.m.