Triple

T3429593
Position Surface form Disambiguated ID Type / Status
Subject Getty Images E72304 entity
Predicate brand P1500 FINISHED
Object Getty Images Creative 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 Creative | Statement: [Getty Images, brand, Getty Images Creative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getty Images Creative
Context triple: [Getty Images, brand, Getty Images Creative]
  • 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. 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. Getty
    Getty is a prominent American surname most famously associated with oil tycoon J. Paul Getty and the wealthy Getty family.
  • D. Images à la sauvette
    Images à la sauvette is a seminal 1952 photography book by Henri Cartier-Bresson that helped define the concept of the “decisive moment” in street and documentary photography.
  • E. Universal Creative
    Universal Creative is the design and development division of Universal Parks & Resorts responsible for creating many of its iconic theme park attractions and experiences.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9854ca081909e637adcac46a27c completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547b1b3481909646bf36e8461ff4 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.