Triple

T13094549
Position Surface form Disambiguated ID Type / Status
Subject Is That All There Is? E310548 entity
Predicate notableWorkOf P4 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: [Is That All There Is?, notableWorkOf, Peggy Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy Lee
Context triple: [Is That All There Is?, notableWorkOf, 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. Jo Stafford
    Jo Stafford was an American traditional pop and jazz singer renowned for her smooth vocal style and numerous hit recordings from the 1940s through the 1950s.
  • C. 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.
  • D. Keely Smith
    Keely Smith was an American jazz and pop singer best known for her work with Louis Prima in the 1950s and her cool, understated vocal style.
  • E. Julie London
    Julie London was an American singer and actress renowned for her sultry, intimate vocal style and popular recordings in the 1950s and 1960s.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7696f0819094825b158e1e9a8c completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:03 p.m.