Triple

T2341811
Position Surface form Disambiguated ID Type / Status
Subject Ziegfeld Follies E45041 entity
Predicate notablePerformer P17435 FINISHED
Object Ruth Etting E114449 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: Ruth Etting | Statement: [Ziegfeld Follies, notablePerformer, Ruth Etting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Etting
Context triple: [Ziegfeld Follies, notablePerformer, Ruth Etting]
  • A. Ruth Etting chosen
    Ruth Etting was a popular American singer and actress of the 1920s and 1930s, famed for hits like "Love Me or Leave Me" and known as one of the era's leading torch singers.
  • B. Sophie Tucker
    Sophie Tucker was a popular early 20th-century American singer, comedian, and vaudeville star known as "The Last of the Red Hot Mamas."
  • C. Mabel Mercer
    Mabel Mercer was a renowned British-born cabaret singer celebrated for her subtle, conversational style and influential interpretations of the Great American Songbook.
  • D. Margaret Whiting
    Margaret Whiting was an American traditional pop and country music singer prominent in the 1940s and 1950s, known for her smooth vocal style and numerous hit recordings.
  • E. Gloria DeHaven
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88113988190b89abfc01f5bf6f4 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:52 p.m.