Triple

T341855
Position Surface form Disambiguated ID Type / Status
Subject Fred Astaire E6852 entity
Predicate workedWith P398 FINISHED
Object Ginger Rogers 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 | Statement: [Fred Astaire, workedWith, Ginger Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginger Rogers
Context triple: [Fred Astaire, workedWith, Ginger Rogers]
  • 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. Helene Costello
    Helene Costello was an American film actress of the silent and early sound era, known for her roles in numerous 1920s productions.
  • C. Josephine Dunn
    Josephine Dunn was an American film and stage actress of the late silent and early sound era, known for her roles in musical and dramatic pictures of the 1920s and 1930s.
  • D. Linda Christian
    Linda Christian was a Mexican-born Hollywood actress best known as the first on-screen "Bond girl" in the 1954 television adaptation of Casino Royale.
  • E. Celeste Holm
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae611f88190955fbebe2b01835b completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd2ff66c8190a0e688e4f9baa5b4 completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.