Triple

T13049462
Position Surface form Disambiguated ID Type / Status
Subject Orlando E327412 entity
Predicate hasVariant P455 FINISHED
Object Rolando
Rolando is a masculine given name, commonly used in Romance-language countries, that is a variant of the name Orlando/Roland.
 E1028182 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: Rolando | Statement: [Orlando, hasVariant, Rolando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rolando
Context triple: [Orlando, hasVariant, Rolando]
  • A. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • B. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • C. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • D. Valente
    Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
  • E. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • 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: Rolando
Triple: [Orlando, hasVariant, Rolando]
Generated description
Rolando is a masculine given name, commonly used in Romance-language countries, that is a variant of the name Orlando/Roland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rolando
Target entity description: Rolando is a masculine given name, commonly used in Romance-language countries, that is a variant of the name Orlando/Roland.
  • A. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • B. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • C. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • D. Valente
    Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
  • E. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff02c1448190b0b41beb427fae23 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f6ffeec1e8819090e1917fc6449ede completed May 3, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69f7017d8d308190bb54958764026325 completed May 3, 2026, 8:04 a.m.
Created at: April 9, 2026, 8:57 p.m.