Triple

T16378576
Position Surface form Disambiguated ID Type / Status
Subject Dominion E397739 entity
Predicate coverArtist P184 FINISHED
Object Getty Images (photo) 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 (photo) | Statement: [Dominion, coverArtist, Getty Images (photo)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getty Images (photo)
Context triple: [Dominion, coverArtist, Getty Images (photo)]
  • 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. Getty
    Getty is a prominent American surname most famously associated with oil tycoon J. Paul Getty and the wealthy Getty family.
  • C. iStockphoto
    iStockphoto is an online microstock photography marketplace offering royalty-free images, illustrations, video, and audio clips contributed by a global community of creators.
  • D. Photolibrary
    Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
  • E. Flickr
    Flickr is an online photo and video hosting and sharing platform that became one of the earliest popular social media sites for photographers and casual users alike.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d97e00819094aa094f52a5a93e completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.