Triple

T6961805
Position Surface form Disambiguated ID Type / Status
Subject Adobe Dimension E161385 entity
Predicate integratesWith P1075 FINISHED
Object Adobe Stock E29774 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: Adobe Stock | Statement: [Adobe Dimension, integratesWith, Adobe Stock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Stock
Context triple: [Adobe Dimension, integratesWith, Adobe Stock]
  • A. Adobe Stock chosen
    Adobe Stock is Adobe’s royalty-free stock content service offering millions of photos, illustrations, vectors, videos, and other creative assets for use in design and media projects.
  • B. iStockphoto
    iStockphoto is an online microstock photography marketplace offering royalty-free images, illustrations, video, and audio clips contributed by a global community of creators.
  • C. Photolibrary
    Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
  • D. Voltage Pictures
    Voltage Pictures is an American independent film production and financing company known for backing a wide range of commercially successful and critically acclaimed movies.
  • E. Shutterfly
    Shutterfly is an online photo services company best known for allowing users to create and order personalized photo books, prints, and gifts.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf07e3481909aa79b8e0f1b1be7 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.