Triple

T6789850
Position Surface form Disambiguated ID Type / Status
Subject All Apps Plan E155904 entity
Predicate includes P1393 FINISHED
Object Lightroom E30414 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: Lightroom | Statement: [All Apps Plan, includes, Lightroom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lightroom
Context triple: [All Apps Plan, includes, Lightroom]
  • A. Adobe Lightroom chosen
    Adobe Lightroom is a professional photo editing and management software application widely used by photographers for organizing, enhancing, and sharing digital images.
  • B. Adobe Camera Raw
    Adobe Camera Raw is a plugin and engine for processing and editing raw image files from digital cameras, widely used in Adobe’s photo-editing applications.
  • C. Adobe Bridge
    Adobe Bridge is a digital asset management application from Adobe that helps users organize, browse, and batch-process creative files across their projects.
  • D. iPhoto
    iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
  • E. Adobe Photoshop Elements
    Adobe Photoshop Elements is a simplified, consumer-oriented version of Adobe’s photo editing software designed to offer powerful yet easy-to-use tools for organizing, editing, and sharing images.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8998408190b741417ce6f21f55 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.