Triple

T9367288
Position Surface form Disambiguated ID Type / Status
Subject Gabrielle Gerard E225433 entity
Predicate portrayedBy P1507 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: [Gabrielle Gerard, portrayedBy, Cyd Charisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyd Charisse
Context triple: [Gabrielle Gerard, portrayedBy, 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. Nico Charisse
    Nico Charisse was a French-born dancer and choreographer best known as the first husband and early dance partner of Hollywood star Cyd Charisse.
  • C. Carole Landis
    Carole Landis was an American film actress and World War II pin-up star known for her glamorous screen presence in 1940s Hollywood.
  • D. Eleanor Powell
    Eleanor Powell was an acclaimed American film and Broadway actress and dancer, celebrated especially for her virtuosic tap dancing in Hollywood musicals of the 1930s and 1940s.
  • E. 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.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5042c89c8190994b12cf7600c366 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16110ecb08190a5f456a4a68afabb completed April 4, 2026, 7:05 p.m.
Created at: March 30, 2026, 7:43 p.m.