Triple

T12310614
Position Surface form Disambiguated ID Type / Status
Subject Graziella E293466 entity
Predicate hasVariant P455 FINISHED
Object Graciela
Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
 E980110 NE FINISHED

How this triple was built (4 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: Graciela | Statement: [Graziella, hasVariant, Graciela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graciela
Context triple: [Graziella, hasVariant, Graciela]
  • A. Rosa Elena
    Rosa Elena is a Mexican public figure best known as the wife of former president Felipe Calderón and for her involvement in high-profile political and legal controversies.
  • B. Marcela
    Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
  • C. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • D. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • E. Gabriela
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Graciela
Triple: [Graziella, hasVariant, Graciela]
Generated description
Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graciela
Target entity description: Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • A. Rosa Elena
    Rosa Elena is a Mexican public figure best known as the wife of former president Felipe Calderón and for her involvement in high-profile political and legal controversies.
  • B. Marcela
    Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
  • C. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • D. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • E. Gabriela
    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.
  • F. None of above. chosen

Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f02c0508190b10c0627cdaaba76 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634688f548190b3c9013591da939b completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356b545c819089a5f5b901afc5f2 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f636382ffc8190becfae41757a45d8 completed May 2, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:53 p.m.