Triple

T18160882
Position Surface form Disambiguated ID Type / Status
Subject Mary Rommely E434756 entity
Predicate influences P9 FINISHED
Object Francie Nolan NE NERFINISHED

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: Francie Nolan | Statement: [Mary Rommely, influences, Francie Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francie Nolan
Context triple: [Mary Rommely, influences, Francie Nolan]
  • A. Francie Nolan chosen
    Francie Nolan is the introspective, resilient young heroine and narrator of Betty Smith’s novel "A Tree Grows in Brooklyn," growing up in poverty in early 20th-century Brooklyn.
  • B. Linda Nolan
    Linda Nolan is an Irish-born singer and television personality best known as a member of the pop group The Nolans.
  • C. Jeanette Nolan
    Jeanette Nolan was an American character actress known for her extensive work in radio, film, and television from the 1930s onward, often portraying strong, distinctive supporting roles.
  • D. Carol Nolan
    Carol Nolan is a private individual known primarily as a relative of Sarah Nolan, with no widely documented public profile.
  • E. Mary Sweeney
    Mary Sweeney is an American film editor, producer, and writer best known for her long-time collaboration with director David Lynch on projects such as "Lost Highway" and "Mulholland Drive."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.