Triple

T1046414
Position Surface form Disambiguated ID Type / Status
Subject The Harvey Girls E22588 entity
Predicate featuresPerformer P1363 FINISHED
Object Cyd Charisse E45043 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: Cyd Charisse | Statement: [The Harvey Girls, featuresPerformer, Cyd Charisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyd Charisse
Context triple: [The Harvey Girls, featuresPerformer, Cyd Charisse]
  • A. Cyd Charisse chosen
    Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances in classic Hollywood musicals of the 1940s and 1950s.
  • B. Mamie Van Doren
    Mamie Van Doren is an American actress, singer, and 1950s sex symbol known for her roles in rock 'n' roll and exploitation films.
  • C. Rita Hayworth
    Rita Hayworth was a celebrated American film actress and dancer of Hollywood’s Golden Age, famed for her glamorous screen presence and iconic roles in 1940s musicals and dramas.
  • D. Dorothy Lamour
    Dorothy Lamour was an American actress and singer best known for her roles in the "Road to..." comedy films alongside Bing Crosby and Bob Hope.
  • E. Marlene Dietrich
    Marlene Dietrich was a German-American actress and singer renowned for her iconic film roles, distinctive voice, and androgynous, glamorous persona in classic Hollywood cinema.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce55b5748190b54b8205a735ae89 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:42 p.m.