Triple

T13138342
Position Surface form Disambiguated ID Type / Status
Subject Rosalind E312143 entity
Predicate hasVariant P455 FINISHED
Object Rosalinda E156570 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: Rosalinda | Statement: [Rosalind, hasVariant, Rosalinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalinda
Context triple: [Rosalind, hasVariant, Rosalinda]
  • A. Rosalinda chosen
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • B. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Raimonda
    Raimonda is a feminine given name, commonly used as the female form of Raymond in various European languages.
  • E. Romilda
    Romilda is a principal female character in Handel’s opera "Serse," known for being the object of the title character’s romantic pursuit and for her own love for another man.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff09a964819097fbb37a7f11eac5 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:09 p.m.