Triple

T2362089
Position Surface form Disambiguated ID Type / Status
Subject Yolanda E47296 entity
Predicate hasVariant P455 FINISHED
Object Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
 E263876 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: Jolanda | Statement: [Yolanda, hasVariant, Jolanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jolanda
Context triple: [Yolanda, hasVariant, Jolanda]
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Renata
    Renata is a young Venetian woman who becomes the poignant love interest of an aging American colonel in Ernest Hemingway’s novel "Across the River and Into the Trees."
  • D. Yolanda Aquaviva
    Yolanda Aquaviva is a central character in the 1945 MGM musical fantasy film "Yolanda and the Thief," portrayed as an innocent heiress whose faith and naivety drive the story’s romantic and magical plot.
  • E. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • 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: Jolanda
Triple: [Yolanda, hasVariant, Jolanda]
Generated description
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jolanda
Target entity description: Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Renata
    Renata is a young Venetian woman who becomes the poignant love interest of an aging American colonel in Ernest Hemingway’s novel "Across the River and Into the Trees."
  • D. Yolanda Aquaviva
    Yolanda Aquaviva is a central character in the 1945 MGM musical fantasy film "Yolanda and the Thief," portrayed as an innocent heiress whose faith and naivety drive the story’s romantic and magical plot.
  • E. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • 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_69aeb3c5c4b881909ad3223206fb2940 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb5ecd0208190930ce8f991869426 completed March 9, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69aeb6497b7c8190a95913e54fd2fb92 completed March 9, 2026, noon
Created at: March 4, 2026, 7:55 p.m.