Triple

T5031437
Position Surface form Disambiguated ID Type / Status
Subject Rosemary E113312 entity
Predicate hasVariant P455 FINISHED
Object Rosemari 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: Rosemari | Statement: [Rosemary, hasVariant, Rosemari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemari
Context triple: [Rosemary, hasVariant, Rosemari]
  • 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. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • E. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73922a4c81908651c2d9b5e01cb6 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0ecf0d88190b459d9c29bfc005d completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:36 p.m.