Triple

T2355756
Position Surface form Disambiguated ID Type / Status
Subject Jennifer E47548 entity
Predicate variantSpelling P457 FINISHED
Object Jenifer
Jenifer is a given name, typically a variant spelling of Jennifer, used primarily for females in English-speaking countries.
 E271643 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: Jenifer | Statement: [Jennifer, variantSpelling, Jenifer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenifer
Context triple: [Jennifer, variantSpelling, Jenifer]
  • A. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • B. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • C. Jennie
    Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • D. Tiffani
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • E. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • 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: Jenifer
Triple: [Jennifer, variantSpelling, Jenifer]
Generated description
Jenifer is a given name, typically a variant spelling of Jennifer, used primarily for females in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenifer
Target entity description: Jenifer is a given name, typically a variant spelling of Jennifer, used primarily for females in English-speaking countries.
  • A. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • B. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • C. Jennie
    Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • D. Tiffani
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • E. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7ac4c8819091132fa9cb265552 completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af200e2db4819085851a45213edc89 completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af208dfab081909d706aad8ff5f615 completed March 9, 2026, 7:33 p.m.
Created at: March 4, 2026, 7:54 p.m.