Triple

T18204594
Position Surface form Disambiguated ID Type / Status
Subject ViT E435871 entity
Predicate developedAt P283 FINISHED
Object Google Research 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: Google Research | Statement: [ViT, developedAt, Google Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Research
Context triple: [ViT, developedAt, Google Research]
  • A. Google Research chosen
    Google Research is the research division of Google focused on advancing the state of the art in computer science and artificial intelligence through fundamental and applied research.
  • B. Adobe Research
    Adobe Research is the research arm of Adobe that advances cutting-edge technologies in areas such as computer graphics, computer vision, machine learning, and digital media.
  • C. Google X
    Google X is a semi-secret research and development lab of Google (now Alphabet) focused on creating breakthrough technologies such as autonomous vehicles and other ambitious "moonshot" projects.
  • D. DeepMind Lab
    DeepMind Lab is a 3D first-person game-like environment and platform developed by DeepMind for training and evaluating artificial intelligence agents in complex navigation and puzzle-solving tasks.
  • E. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.