Triple

T20343255
Position Surface form Disambiguated ID Type / Status
Subject Ann Rork Getty E495794 entity
Predicate familyName P18 FINISHED
Object Getty NE NERFINISHED

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 | Statement: [Ann Rork Getty, familyName, Getty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getty
Context triple: [Ann Rork Getty, familyName, Getty]
  • A. Getty chosen
    Getty is a prominent American surname most famously associated with oil tycoon J. Paul Getty and the wealthy Getty family.
  • B. 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.
  • C. Gravity Pictures
    Gravity Pictures is a Chinese film production company known for co-producing major international releases, including the sci-fi action thriller "The Meg."
  • D. Goalpost Pictures
    Goalpost Pictures is an Australian film and television production company known for producing acclaimed features and series, including the 2020 adaptation of "The Invisible Man."
  • E. The Graphic
    The Graphic was a British illustrated weekly newspaper of the late 19th and early 20th centuries, renowned for its high-quality artwork and influential social commentary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67836b72081908be65115abdb37bf completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.