Triple

T13500200
Position Surface form Disambiguated ID Type / Status
Subject Evie Rommely E320866 entity
Predicate hasNiece P63741 FINISHED
Object Francie Nolan E330642 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: Francie Nolan | Statement: [Evie Rommely, hasNiece, Francie Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francie Nolan
Context triple: [Evie Rommely, hasNiece, 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. Una O'Connor
    Una O'Connor was an Irish-born character actress best known for her comic and eccentric supporting roles in classic Hollywood films of the 1930s and 1940s, including "The Invisible Man" and "Bride of Frankenstein."
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729766008190803c1dfef2c8c872 completed May 8, 2026, 11:32 p.m.
Created at: April 9, 2026, 9:43 p.m.