Triple

T364255
Position Surface form Disambiguated ID Type / Status
Subject Google Brain E7923 entity
Predicate productDeveloped P490 FINISHED
Object Google Photos image recognition technology E5653 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: Google Photos image recognition technology | Statement: [Google Brain, productDeveloped, Google Photos image recognition technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Photos image recognition technology
Context triple: [Google Brain, productDeveloped, Google Photos image recognition technology]
  • A. Google Lens
    Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
  • B. Google Photos chosen
    Google Photos is a cloud-based photo and video storage and management service that offers automatic backup, organization, sharing, and powerful search features using Google’s AI.
  • C. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • D. Adobe Lightroom
    Adobe Lightroom is a professional photo editing and management software application widely used by photographers for organizing, enhancing, and sharing digital images.
  • E. CIFAR
    CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee29ede0819095279af95b53e350 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e86533a481909bab5f0b52114c6a completed March 1, 2026, 7:19 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.