Triple

T5242280
Position Surface form Disambiguated ID Type / Status
Subject Andrew Getty E118371 entity
Predicate fullName P16 FINISHED
Object Andrew Rork Getty E118371 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: Andrew Rork Getty | Statement: [Andrew Getty, fullName, Andrew Rork Getty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Rork Getty
Context triple: [Andrew Getty, fullName, Andrew Rork Getty]
  • A. Andrew Getty chosen
    Andrew Getty was an American heir to the Getty oil fortune, known as a reclusive philanthropist and independent horror film producer.
  • B. Mark Getty
    Mark Getty is a British businessman and heir of the Getty family best known as the co-founder and chairman of the global stock photography company Getty Images.
  • C. Gordon Getty
    Gordon Getty is an American billionaire investor, philanthropist, and classical music composer, and a son of oil tycoon J. Paul Getty.
  • D. Ann Rork Getty
    Ann Rork Getty was an American silent film actress and socialite who became part of the wealthy Getty family through her marriage to oil heir J. Paul Getty.
  • E. Ron Burkle
    Ron Burkle is an American billionaire investor and co-founder of the private equity firm Yucaipa Companies, known for his extensive investments in retail, sports, and media.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4c6fa8819099442b1b110e51fb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82b42308190b9e3e0e113d8093b completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.