Triple

T23181903
Position Surface form Disambiguated ID Type / Status
Subject Judy Tyler E579483 entity
Predicate coStarredWith P14987 FINISHED
Object Elvis Presley 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: Elvis Presley | Statement: [Judy Tyler, coStarredWith, Elvis Presley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvis Presley
Context triple: [Judy Tyler, coStarredWith, 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. Elvis
    Elvis is a supporting character in the family adventure film "Free Willy 2: The Adventure Home."
  • C. Reg Presley
    Reg Presley was an English singer-songwriter best known as the lead vocalist of the rock band The Troggs.
  • D. 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.
  • E. Robert Presley
    Robert Presley is a cinematographer known for his work on major feature films, including the 2009 adaptation of "A Christmas Carol."
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6f770c81908622085693e37123 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.