Triple

T1476135
Position Surface form Disambiguated ID Type / Status
Subject Karen E30844 entity
Predicate hasVariant P455 FINISHED
Object Karin
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
 E170203 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: Karin | Statement: [Karen, hasVariant, Karin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karin
Context triple: [Karen, hasVariant, Karin]
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • C. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • D. Kathryn
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • E. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • 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: Karin
Triple: [Karen, hasVariant, Karin]
Generated description
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karin
Target entity description: Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • C. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • D. Kathryn
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • E. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d13ff5c8190821d1d7026e19513 completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1d825bc48190a08db348c6222e03 completed March 8, 2026, 6:56 a.m.
Created at: March 1, 2026, 8:11 p.m.