Triple

T22935750
Position Surface form Disambiguated ID Type / Status
Subject Jacklyn E569578 entity
Predicate hasSpellingVariant P457 FINISHED
Object Jackelyn
Jackelyn is a feminine given name, typically considered a modern spelling variant of names like Jacqueline or Jacklyn.
 E1561637 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: Jackelyn | Statement: [Jacklyn, hasSpellingVariant, Jackelyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jackelyn
Context triple: [Jacklyn, hasSpellingVariant, Jackelyn]
  • A. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • B. Joseline
    Joseline is a Puerto Rican-American reality television personality, rapper, and actress best known for her role on VH1's "Love & Hip Hop: Atlanta."
  • C. Ximena
    Ximena is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • E. Marisela
    Marisela is a central character in the Venezuelan novel "Doña Bárbara," often portrayed as the innocent and virtuous counterpart to the ruthless title character.
  • 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: Jackelyn
Triple: [Jacklyn, hasSpellingVariant, Jackelyn]
Generated description
Jackelyn is a feminine given name, typically considered a modern spelling variant of names like Jacqueline or Jacklyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jackelyn
Target entity description: Jackelyn is a feminine given name, typically considered a modern spelling variant of names like Jacqueline or Jacklyn.
  • A. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • B. Joseline
    Joseline is a Puerto Rican-American reality television personality, rapper, and actress best known for her role on VH1's "Love & Hip Hop: Atlanta."
  • C. Ximena
    Ximena is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • E. Marisela
    Marisela is a central character in the Venezuelan novel "Doña Bárbara," often portrayed as the innocent and virtuous counterpart to the ruthless title character.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181350c7881908a72dc7a30e1aaff completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc250aaa88190bd4d516e31012882 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc30a16408190ba27d804c7a4933e completed May 19, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc39e4c00819083a5c7bc3c9c1526 completed May 19, 2026, 1:57 a.m.
Created at: April 17, 2026, 3:44 p.m.