Triple

T2355755
Position Surface form Disambiguated ID Type / Status
Subject Jennifer E47548 entity
Predicate shortForm P43 FINISHED
Object Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
E269276 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: Jenna | Statement: [Jennifer, shortForm, Jenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna
Context triple: [Jennifer, shortForm, Jenna]
  • A. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • B. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • C. Jillian
    Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
  • D. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • E. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • 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: Jenna
Triple: [Jennifer, shortForm, Jenna]
Generated description
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jenna
Target entity description: Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • A. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • B. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • C. Jillian
    Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
  • D. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • E. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • 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_69af17726e54819094f1419b3bbe2a2a completed March 9, 2026, 6:54 p.m.
NEDg Description generation batch_69af17fbb54481908bee65fee0fd96a2 completed March 9, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_69af186c6af081909498d709665f6f87 completed March 9, 2026, 6:58 p.m.
Created at: March 4, 2026, 7:54 p.m.