Triple

T6064484
Position Surface form Disambiguated ID Type / Status
Subject Giuliano E135120 entity
Predicate relatedToName P3889 FINISHED
Object Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
E567178 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: Giuliana | Statement: [Giuliano, relatedToName, Giuliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuliana
Context triple: [Giuliano, relatedToName, Giuliana]
  • A. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • B. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • D. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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: Giuliana
Triple: [Giuliano, relatedToName, Giuliana]
Generated description
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giuliana
Target entity description: Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • A. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • B. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • D. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05723c91c819090b4d4672e72f9f3 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d23dca8819080702ca0f05df5dd completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11dec348c819090715aa1ec407f11 completed March 23, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69c11e5efd848190adb834e42b4bdc9e completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:10 p.m.