Triple

T19771506
Position Surface form Disambiguated ID Type / Status
Subject Kevin E474898 entity
Predicate hasFeminineForm P1613 FINISHED
Object Kevynne
Kevynne is a modern feminine given name, likely a creative or stylized variant of the name Kevin.
 E1394916 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: Kevynne | Statement: [Kevin, hasFeminineForm, Kevynne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kevynne
Context triple: [Kevin, hasFeminineForm, Kevynne]
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Kevina
    Kevina is a feminine given name derived from the masculine name Kevin.
  • C. Kelli
    Kelli is a feminine given name, typically considered a variant spelling of Kelly.
  • D. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • E. Keely
    Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
  • 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: Kevynne
Triple: [Kevin, hasFeminineForm, Kevynne]
Generated description
Kevynne is a modern feminine given name, likely a creative or stylized variant of the name Kevin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kevynne
Target entity description: Kevynne is a modern feminine given name, likely a creative or stylized variant of the name Kevin.
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Kevina chosen
    Kevina is a feminine given name derived from the masculine name Kevin.
  • C. Kelli
    Kelli is a feminine given name, typically considered a variant spelling of Kelly.
  • D. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • E. Keely
    Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
  • F. None of above.

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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535bd8c0819097671783962b6bc5 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4f4618481908fafb84937c2143f completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c628176481908e636e80445facbc completed May 16, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07c69e228c8190a3f5b0dfc2c3a829 completed May 16, 2026, 1:21 a.m.
Created at: April 10, 2026, 1:48 p.m.