Triple

T5195992
Position Surface form Disambiguated ID Type / Status
Subject Emily Drinkard E117271 entity
Predicate associatedAct P37 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: [Emily Drinkard, associatedAct, Elvis Presley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvis Presley
Context triple: [Emily Drinkard, associatedAct, 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1c2184819083f4b1d8830bebae completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09a347081909c2c6c4a2362d7dd completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.