Triple

T3520344
Position Surface form Disambiguated ID Type / Status
Subject VGG E74406 entity
Predicate developedBy P73 FINISHED
Object Visual Geometry Group
The Visual Geometry Group is a renowned computer vision research group at the University of Oxford known for pioneering deep convolutional neural network architectures such as VGGNet.
E366100 NE FINISHED

How this triple was built (4 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: Visual Geometry Group | Statement: [VGG, developedBy, Visual Geometry Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visual Geometry Group
Context triple: [VGG, developedBy, Visual Geometry Group]
  • A. Learning to See by Moving
    "Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
  • B. Scene Completion Using Millions of Photographs
    "Scene Completion Using Millions of Photographs" is a seminal computer vision and graphics paper that introduced a data-driven method for automatically filling in missing regions of images by searching a massive online photo collection for visually compatible patches.
  • C. Data-Driven Hallucination of Different Views
    "Data-Driven Hallucination of Different Views" is a computer vision research work by Alexei Efros that uses data-driven techniques to synthesize plausible novel viewpoints of a scene from a single or limited set of images.
  • D. Visual Component Library
    Visual Component Library is Delphi’s native GUI framework that provides a rich set of reusable visual and non-visual components for building Windows applications.
  • E. Max Planck Institute for Intelligent Systems
    The Max Planck Institute for Intelligent Systems is a leading German research institute focused on advancing the understanding and development of intelligent systems, including machine learning, robotics, and related fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Visual Geometry Group
Triple: [VGG, developedBy, Visual Geometry Group]
Generated description
The Visual Geometry Group is a renowned computer vision research group at the University of Oxford known for pioneering deep convolutional neural network architectures such as VGGNet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Visual Geometry Group
Target entity description: The Visual Geometry Group is a renowned computer vision research group at the University of Oxford known for pioneering deep convolutional neural network architectures such as VGGNet.
  • A. Learning to See by Moving
    "Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
  • B. Scene Completion Using Millions of Photographs
    "Scene Completion Using Millions of Photographs" is a seminal computer vision and graphics paper that introduced a data-driven method for automatically filling in missing regions of images by searching a massive online photo collection for visually compatible patches.
  • C. Data-Driven Hallucination of Different Views
    "Data-Driven Hallucination of Different Views" is a computer vision research work by Alexei Efros that uses data-driven techniques to synthesize plausible novel viewpoints of a scene from a single or limited set of images.
  • D. Visual Component Library
    Visual Component Library is Delphi’s native GUI framework that provides a rich set of reusable visual and non-visual components for building Windows applications.
  • E. Max Planck Institute for Intelligent Systems
    The Max Planck Institute for Intelligent Systems is a leading German research institute focused on advancing the understanding and development of intelligent systems, including machine learning, robotics, and related fields.
  • F. None of above. chosen

Provenance (5 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e848d1c8190b100cb2e1218afbb completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f07ab70819089fdb7083b81b992 completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b38078bc288190b69d73a64acce8ca completed March 13, 2026, 3:11 a.m.
Created at: March 8, 2026, 3:19 p.m.