Triple

T14374889
Position Surface form Disambiguated ID Type / Status
Subject Tony Stone Images E356447 entity
Predicate contributedTo P37 FINISHED
Object Getty Images image library E72304 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: Getty Images image library | Statement: [Tony Stone Images, contributedTo, Getty Images image library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getty Images image library
Context triple: [Tony Stone Images, contributedTo, Getty Images image library]
  • A. Getty Images chosen
    Getty Images is a leading global provider of stock photography, editorial imagery, video, and other visual content for media, advertising, and corporate clients.
  • B. Photolibrary
    Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
  • C. Adobe Stock
    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.
  • D. Getty
    Getty is a prominent American surname most famously associated with oil tycoon J. Paul Getty and the wealthy Getty family.
  • E. iStockphoto
    iStockphoto is an online microstock photography marketplace offering royalty-free images, illustrations, video, and audio clips contributed by a global community of creators.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.