Triple

T5341679
Position Surface form Disambiguated ID Type / Status
Subject Rebecca E123957 entity
Predicate hasVariant P455 FINISHED
Object Rebecka
Rebecka is a feminine given name, commonly used as a spelling variant of Rebecca in various European countries.
 E512154 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: Rebecka | Statement: [Rebecca, hasVariant, Rebecka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rebecka
Context triple: [Rebecca, hasVariant, Rebecka]
  • A. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • B. Eva Dahlgren
    Eva Dahlgren is a Swedish pop and rock singer-songwriter known for her introspective lyrics and influential role in Scandinavian music since the late 1970s.
  • C. Stephanie
    Stephanie is the birth name of Stevie Nicks, the iconic American singer-songwriter and member of Fleetwood Mac.
  • D. Kristin
    Kristin is the given name of the acclaimed British-French actress Kristin Scott Thomas, known for her roles in films such as "The English Patient" and "Four Weddings and a Funeral."
  • E. Kristin
    Kristin is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway.
  • 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: Rebecka
Triple: [Rebecca, hasVariant, Rebecka]
Generated description
Rebecka is a feminine given name, commonly used as a spelling variant of Rebecca in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rebecka
Target entity description: Rebecka is a feminine given name, commonly used as a spelling variant of Rebecca in various European countries.
  • A. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • B. Eva Dahlgren
    Eva Dahlgren is a Swedish pop and rock singer-songwriter known for her introspective lyrics and influential role in Scandinavian music since the late 1970s.
  • C. Stephanie
    Stephanie is the birth name of Stevie Nicks, the iconic American singer-songwriter and member of Fleetwood Mac.
  • D. Kristin
    Kristin is the given name of the acclaimed British-French actress Kristin Scott Thomas, known for her roles in films such as "The English Patient" and "Four Weddings and a Funeral."
  • E. Kristin
    Kristin is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cb250c81908a48e4e2bbebbdb9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c8db388190a31f55854e7370fc completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf19c8273081908a5138e9af921ec7 completed March 21, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a3049648190b5040e587671610a completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.