Triple

T383148
Position Surface form Disambiguated ID Type / Status
Subject Catherine E8723 entity
Predicate hasVariant P455 FINISHED
Object Kathryn
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
 E62170 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: Kathryn | Statement: [Catherine, hasVariant, Kathryn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathryn
Context triple: [Catherine, hasVariant, Kathryn]
  • A. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • B. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • C. Katherine Hudson
    Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-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: Kathryn
Triple: [Catherine, hasVariant, Kathryn]
Generated description
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathryn
Target entity description: Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • A. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • B. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • C. Katherine Hudson
    Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481e969f481908cc6732b4c6aaad6 completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a4827c581c81909ae66fbb043d7e65 completed March 1, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_69a482f2af8881909835bddb542b1f89 completed March 1, 2026, 6:18 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.