Triple

T11909533
Position Surface form Disambiguated ID Type / Status
Subject Monotype E283356 entity
Predicate publishes P80 FINISHED
Object Helvetica E864291 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: Helvetica | Statement: [Monotype, publishes, Helvetica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helvetica
Context triple: [Monotype, publishes, Helvetica]
  • A. Helvetica chosen
    Helvetica is a widely used sans-serif typeface known for its clean, modern, and highly legible design, commonly seen in corporate branding and public signage worldwide.
  • B. 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.
  • C. Lato
    Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
  • D. 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.
  • E. Libre Baskerville
    Libre Baskerville is an open-source, web-optimized serif typeface that adapts the classic Baskerville design for modern digital use.
  • 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_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.