Triple

T11263924
Position Surface form Disambiguated ID Type / Status
Subject Roberta E266632 entity
Predicate featuresPerformer P1363 FINISHED
Object Ginger Rogers (dancer) E8417 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: Ginger Rogers (dancer) | Statement: [Roberta, featuresPerformer, Ginger Rogers (dancer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginger Rogers (dancer)
Context triple: [Roberta, featuresPerformer, Ginger Rogers (dancer)]
  • A. Ginger Rogers chosen
    Ginger Rogers was an American actress, singer, and dancer best known for her iconic film musicals with Fred Astaire during Hollywood’s Golden Age.
  • B. 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.
  • C. Ava Astaire
    Ava Astaire is the daughter of legendary dancer and actor Fred Astaire, known for helping preserve and promote her father's artistic legacy.
  • D. 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.
  • E. Cyd Charisse
    Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0447288190bf6ce7081697cc88 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.