Triple

T12842602
Position Surface form Disambiguated ID Type / Status
Subject Gabriella E307088 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Gabriela E815499 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: Gabriela | Statement: [Gabriella, hasAlternativeSpelling, Gabriela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriela
Context triple: [Gabriella, hasAlternativeSpelling, Gabriela]
  • A. Gabriela chosen
    Gabriela is a key character in Paulo Coelho’s novel "The Winner Stands Alone," representing the struggles and aspirations of an ambitious actress navigating the superficial world of fame and celebrity.
  • B. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • C. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • D. Rosita
    Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
  • E. Rosita
    Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff2ab60819085561a3120189985 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9dc1e48190993430956e0fcfdc completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:35 p.m.