Triple

T2694315
Position Surface form Disambiguated ID Type / Status
Subject Graziella Bündchen E58475 entity
Predicate givenName P17 FINISHED
Object Graziella
Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
 E293466 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: Graziella | Statement: [Graziella Bündchen, givenName, Graziella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graziella
Context triple: [Graziella Bündchen, givenName, Graziella]
  • A. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • B. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • C. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • 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: Graziella
Triple: [Graziella Bündchen, givenName, Graziella]
Generated description
Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graziella
Target entity description: Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • A. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • B. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • C. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda10a9bc81908473d02ab9116cef completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb67e21d481908ce4ec01603767bb completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb726182081909570e4cb7a364e4d completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb78f9d08819087d6f31fe1e4e61c completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:55 p.m.