Triple

T3158103
Position Surface form Disambiguated ID Type / Status
Subject Where or When E66037 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Peggy Lee E128309 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: Peggy Lee | Statement: [Where or When, hasNotableRecordingBy, Peggy Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy Lee
Context triple: [Where or When, hasNotableRecordingBy, Peggy Lee]
  • A. Peggy Lee chosen
    Peggy Lee was an acclaimed American jazz and popular music singer, songwriter, and actress known for her sultry voice and sophisticated, understated style.
  • B. Eydie Gormé
    Eydie Gormé was an American pop and Latin-influenced singer best known for her solo hits and her longtime musical partnership with her husband, Steve Lawrence.
  • C. Ella Fitzgerald
    Ella Fitzgerald was an iconic American jazz singer renowned as the “First Lady of Song” for her pure tone, impeccable diction, and virtuosic scat singing.
  • D. Dolores Hope
    Dolores Hope was an American singer, philanthropist, and the longtime wife of entertainer Bob Hope, known for her charitable work and support of U.S. troops.
  • E. Patti Page
    Patti Page was a popular mid-20th-century American singer known for her smooth vocal style and hit songs like "Tennessee Waltz."
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ec0da88190a83f3448ac76e98e completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b4e09388190b41da913f677ffb7 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:05 p.m.