Triple

T14891232
Position Surface form Disambiguated ID Type / Status
Subject iStockphoto E359757 entity
Predicate name P16 FINISHED
Object iStockphoto E359757 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: iStockphoto | Statement: [iStockphoto, name, iStockphoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iStockphoto
Context triple: [iStockphoto, name, iStockphoto]
  • A. iStockphoto chosen
    iStockphoto is an online microstock photography marketplace offering royalty-free images, illustrations, video, and audio clips contributed by a global community of creators.
  • B. 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.
  • C. Photolibrary
    Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
  • D. Getty Images
    Getty Images is a leading global provider of stock photography, editorial imagery, video, and other visual content for media, advertising, and corporate clients.
  • E. IMG
    IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b61407481908a618d14c56d2abf completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.