Triple

T12399478
Position Surface form Disambiguated ID Type / Status
Subject Somebody Somewhere E296210 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Rosabella E301310 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: Rosabella | Statement: [Somebody Somewhere, associatedWithCharacter, Rosabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosabella
Context triple: [Somebody Somewhere, associatedWithCharacter, Rosabella]
  • A. Rosabella chosen
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • B. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • C. Graziella
    Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Raimonda
    Raimonda is a feminine given name, commonly used as the female form of Raymond in various European languages.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9401cbfd481908ee6e765da3d12cb completed April 10, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66856236c8190a70ef287c0146116 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:55 p.m.