Triple

T22663150
Position Surface form Disambiguated ID Type / Status
Subject CATIA E559714 entity
Predicate hasModule P12988 FINISHED
Object Generative Shape Design — NE NERFINISHED

How this triple was built (3 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: Generative Shape Design | Statement: [CATIA, hasModule, Generative Shape Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Generative Shape Design
Context triple: [CATIA, hasModule, Generative Shape Design]
  • A. Neural Synthesis
    Neural Synthesis is an experimental electronic music work by composer and performer David Tudor that explores complex, self-regulating sound systems and live electronic processes.
  • B. Generative Programming: Concepts & Experiences
    Generative Programming: Concepts & Experiences is an academic conference focused on research in generative and component-based software development, programming languages, and software engineering techniques.
  • C. Interpreting Line Drawings of Curved Objects
    "Interpreting Line Drawings of Curved Objects" is a seminal computer vision doctoral thesis by Jitendra Malik that introduced influential methods for understanding 3D shape and surface structure from 2D line drawings.
  • D. Design, Form, and Chaos
    "Design, Form, and Chaos" is a seminal book by graphic designer Paul Rand that explores his philosophy, methods, and influential work in modern visual communication.
  • E. StyleGAN
    StyleGAN is a state-of-the-art generative adversarial network architecture known for producing highly realistic, controllable images by manipulating disentangled style representations at different layers of the network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Generative Shape Design
Target entity description: Generative Shape Design is a CATIA workbench used for creating and modifying complex 3D surfaces and advanced freeform shapes in product design.
  • A. Neural Synthesis
    Neural Synthesis is an experimental electronic music work by composer and performer David Tudor that explores complex, self-regulating sound systems and live electronic processes.
  • B. Generative Programming: Concepts & Experiences
    Generative Programming: Concepts & Experiences is an academic conference focused on research in generative and component-based software development, programming languages, and software engineering techniques.
  • C. Interpreting Line Drawings of Curved Objects
    "Interpreting Line Drawings of Curved Objects" is a seminal computer vision doctoral thesis by Jitendra Malik that introduced influential methods for understanding 3D shape and surface structure from 2D line drawings.
  • D. Design, Form, and Chaos
    "Design, Form, and Chaos" is a seminal book by graphic designer Paul Rand that explores his philosophy, methods, and influential work in modern visual communication.
  • E. StyleGAN
    StyleGAN is a state-of-the-art generative adversarial network architecture known for producing highly realistic, controllable images by manipulating disentangled style representations at different layers of the network.
  • F. None of above. chosen

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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17660c0c88190bed9fa8f6517eec4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.