Triple

T11083894
Position Surface form Disambiguated ID Type / Status
Subject Marilyn Miller E262068 entity
Predicate name P16 FINISHED
Object Marilyn Miller E262068 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: Marilyn Miller | Statement: [Marilyn Miller, name, Marilyn Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilyn Miller
Context triple: [Marilyn Miller, name, Marilyn Miller]
  • A. Marilyn Miller chosen
    Marilyn Miller was a celebrated American Broadway musical star of the 1910s and 1920s, renowned for her charismatic dancing, singing, and stage presence.
  • B. Marilyn Matthews Miller
    Marilyn Matthews Miller was the wife of American cartoonist Charles Addams, known for his macabre and darkly humorous creations such as The Addams Family.
  • C. Barbara Rush
    Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
  • D. Eileen Baker
    Eileen Baker is best known as the wife of English actor Kenny Baker, who famously portrayed R2-D2 in the original Star Wars films.
  • E. Ann Miller
    Ann Miller was an American actress, singer, and acclaimed tap dancer known for her energetic 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c0cc3081908448cfb26c08daf5 completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5427918f08190ac1fdf3e0aff036f completed April 19, 2026, 9 p.m.
Created at: April 8, 2026, 9:27 p.m.