Triple

T13874594
Position Surface form Disambiguated ID Type / Status
Subject Rosemarie DeWitt E333546 entity
Predicate givenName P17 FINISHED
Object Rosemarie E489518 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: Rosemarie | Statement: [Rosemarie DeWitt, givenName, Rosemarie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemarie
Context triple: [Rosemarie DeWitt, givenName, Rosemarie]
  • A. Rosemarie chosen
    Rosemarie is a feminine given name, typically considered a variant of Rosemary, used in various European and English-speaking cultures.
  • B. Rose-Marie
    Rose-Marie is a popular 1924 operetta, with music by Rudolf Friml, known for its romantic plot set in the Canadian Rockies and songs like "Indian Love Call."
  • C. Maryanne
    Maryanne is a feminine given name, often used in English-speaking countries as a variant of Mary Ann or Marianne.
  • D. Rosalyn
    Rosalyn is a feminine given name, often considered a variant of Rosalind or Rose, typically associated with meanings related to "rose" and beauty.
  • E. Mary Marie
    Mary Marie is a novel by Eleanor H. Porter, best known as the author of "Pollyanna," and features a young girl navigating the emotional upheaval of her parents’ divorce.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be4031c8190bef5865ec23b18a0 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c109ac5c819090b2b7e43334f904 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.