Triple

T23112871
Position Surface form Disambiguated ID Type / Status
Subject Dylan Field E576368 entity
Predicate knownFor P22 FINISHED
Object Figma NE NERFINISHED

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: Figma | Statement: [Dylan Field, knownFor, Figma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figma
Context triple: [Dylan Field, knownFor, Figma]
  • A. Figma chosen
    Figma is a cloud-based collaborative design platform widely used for user interface and user experience (UI/UX) design and prototyping.
  • B. Adobe XD
    Adobe XD is a vector-based user experience design and prototyping tool used to create and test interfaces for websites and mobile applications.
  • C. Figma Plugins
    Figma Plugins are third-party extensions that enhance Figma’s design and collaboration capabilities by automating tasks, adding new tools, and integrating with external services.
  • D. Adobe Fresco
    Adobe Fresco is a digital painting and drawing app by Adobe that simulates natural media brushes and is designed for artists and illustrators working on touch and stylus devices.
  • E. Canva
    Canva is a popular online graphic design platform that enables users to easily create visual content such as social media graphics, presentations, and marketing materials using drag-and-drop tools and templates.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.