Triple

T6064481
Position Surface form Disambiguated ID Type / Status
Subject Giuliano E135120 entity
Predicate equivalentForm P6530 FINISHED
Object Juliano
Juliano is a given name, commonly used in Portuguese and Spanish-speaking countries, that corresponds to the Italian name Giuliano.
 E171653 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: Juliano | Statement: [Giuliano, equivalentForm, Juliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juliano
Context triple: [Giuliano, equivalentForm, Juliano]
  • A. Julio
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • B. Giuliano
    Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
  • C. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • D. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • E. Lucio
    Lucio is a roguish, witty gentleman in Shakespeare’s play "Measure for Measure," known for his bawdy humor, moral hypocrisy, and role as a comic commentator on the play’s themes of justice and corruption.
  • 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: Juliano
Triple: [Giuliano, equivalentForm, Juliano]
Generated description
Juliano is a given name, commonly used in Portuguese and Spanish-speaking countries, that corresponds to the Italian name Giuliano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juliano
Target entity description: Juliano is a given name, commonly used in Portuguese and Spanish-speaking countries, that corresponds to the Italian name Giuliano.
  • A. Julio
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • B. Giuliano
    Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
  • C. Julián chosen
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • D. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • E. Lucio
    Lucio is a roguish, witty gentleman in Shakespeare’s play "Measure for Measure," known for his bawdy humor, moral hypocrisy, and role as a comic commentator on the play’s themes of justice and corruption.
  • F. None of above.

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.