Triple

T5055291
Position Surface form Disambiguated ID Type / Status
Subject Ursula Andress E113885 entity
Predicate workedWith P398 FINISHED
Object Elvis Presley E26421 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: Elvis Presley | Statement: [Ursula Andress, workedWith, Elvis Presley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvis Presley
Context triple: [Ursula Andress, workedWith, Elvis Presley]
  • A. Elvis Presley chosen
    Elvis Presley was an iconic American singer and actor widely known as the "King of Rock and Roll," whose groundbreaking style and charisma transformed popular music and culture in the mid-20th century.
  • B. Vernon Presley
    Vernon Presley was the father of rock and roll icon Elvis Presley and served as his son’s business manager and estate executor.
  • C. Robert Presley
    Robert Presley is a cinematographer known for his work on major feature films, including the 2009 adaptation of "A Christmas Carol."
  • D. Presley
    Presley is a famous American surname most closely associated with rock and roll icon Elvis Presley and his family.
  • E. Roy Orbison
    Roy Orbison was an American singer-songwriter known for his powerful, operatic voice and dramatic rock and pop ballads such as "Oh, Pretty Woman" and "Crying."
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.