Triple

T2355758
Position Surface form Disambiguated ID Type / Status
Subject Jennifer E47548 entity
Predicate variantSpelling P457 FINISHED
Object Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
 E257221 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: Jenefar | Statement: [Jennifer, variantSpelling, Jenefar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenefar
Context triple: [Jennifer, variantSpelling, Jenefar]
  • A. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • B. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Fadal
    Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
  • E. Marui
    Marui is a Japanese department store and retail company known for its fashion-focused shopping complexes branded with the "OIOI" logo.
  • 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: Jenefar
Triple: [Jennifer, variantSpelling, Jenefar]
Generated description
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenefar
Target entity description: Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • A. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • B. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Fadal
    Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
  • E. Marui
    Marui is a Japanese department store and retail company known for its fashion-focused shopping complexes branded with the "OIOI" logo.
  • 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_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b4b378819094853d3503a3b8b4 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae970a87a4819094e33d3b6347a9b5 completed March 9, 2026, 9:46 a.m.
Created at: March 4, 2026, 7:54 p.m.