Triple

T2362088
Position Surface form Disambiguated ID Type / Status
Subject Yolanda E47296 entity
Predicate hasVariant P455 FINISHED
Object Iolanda
Iolanda is a feminine given name, a variant of Yolanda, used in various European languages.
 E261333 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: Iolanda | Statement: [Yolanda, hasVariant, Iolanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iolanda
Context triple: [Yolanda, hasVariant, Iolanda]
  • A. Lissa
    Lissa is a historic town in western Poland, known today as Leszno, that was once part of Germany and is notable as the birthplace of several prominent Jewish and intellectual figures.
  • B. Madalena
    Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
  • C. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Maddalena
    Maddalena is the Italian form of the given name Magdalena, traditionally associated with Mary Magdalene in Christian tradition.
  • 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: Iolanda
Triple: [Yolanda, hasVariant, Iolanda]
Generated description
Iolanda is a feminine given name, a variant of Yolanda, used in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iolanda
Target entity description: Iolanda is a feminine given name, a variant of Yolanda, used in various European languages.
  • A. Lissa
    Lissa is a historic town in western Poland, known today as Leszno, that was once part of Germany and is notable as the birthplace of several prominent Jewish and intellectual figures.
  • B. Madalena
    Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
  • C. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Maddalena
    Maddalena is the Italian form of the given name Magdalena, traditionally associated with Mary Magdalene in Christian tradition.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc74501388190adce9b3e51a03ded completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8938d5481908ed11efcc8840ca4 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aeabfeddd4819080205fbebac1a51d completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aeacc8445481908a3ae8bd62493413 completed March 9, 2026, 11:19 a.m.
Created at: March 4, 2026, 7:55 p.m.