Triple

T16138435
Position Surface form Disambiguated ID Type / Status
Subject Jessica E391589 entity
Predicate hasVariant P455 FINISHED
Object Jessika
Jessika is a feminine given name, typically considered a modern or alternative spelling of Jessica.
E1199793 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: Jessika | Statement: [Jessica, hasVariant, Jessika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessika
Context triple: [Jessica, hasVariant, Jessika]
  • A. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • B. Mikaela
    Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
  • C. Jessika Pava
    Jessika Pava is a skilled X-wing pilot in the Star Wars sequel trilogy who serves in the Resistance’s starfighter corps.
  • D. Jasika Nicole
    Jasika Nicole is an American actress and illustrator best known for playing FBI Junior Agent Astrid Farnsworth on the science-fiction television series "Fringe."
  • E. Kayla
    Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
  • 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: Jessika
Triple: [Jessica, hasVariant, Jessika]
Generated description
Jessika is a feminine given name, typically considered a modern or alternative spelling of Jessica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessika
Target entity description: Jessika is a feminine given name, typically considered a modern or alternative spelling of Jessica.
  • A. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • B. Mikaela
    Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
  • C. Jessika Pava
    Jessika Pava is a skilled X-wing pilot in the Star Wars sequel trilogy who serves in the Resistance’s starfighter corps.
  • D. Jasika Nicole
    Jasika Nicole is an American actress and illustrator best known for playing FBI Junior Agent Astrid Farnsworth on the science-fiction television series "Fringe."
  • E. Kayla
    Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef0f51c8190bc039150af8ebf98 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a00033ff1ac81908a5b42c89f6897bf completed May 10, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0003efbeec8190920d2eb540911f28 completed May 10, 2026, 4:05 a.m.
Created at: April 10, 2026, 5:01 a.m.