Triple

T5229738
Position Surface form Disambiguated ID Type / Status
Subject Soup E118077 entity
Predicate hasPart P35 FINISHED
Object Vernie
Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
 E504371 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: Vernie | Statement: [Soup, hasPart, Vernie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernie
Context triple: [Soup, hasPart, Vernie]
  • A. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • B. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • C. Vee Parker
    Vee Parker is a manipulative and influential older inmate in "Orange Is the New Black" who exerts control over younger prisoners, including Taystee.
  • D. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • E. Gavvy
    Gavvy is the nickname of Gavvy Cravath, an early 20th-century American Major League Baseball outfielder known for his powerful hitting and home run titles.
  • 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: Vernie
Triple: [Soup, hasPart, Vernie]
Generated description
Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernie
Target entity description: Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
  • A. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • B. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • C. Vee Parker
    Vee Parker is a manipulative and influential older inmate in "Orange Is the New Black" who exerts control over younger prisoners, including Taystee.
  • D. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • E. Gavvy
    Gavvy is the nickname of Gavvy Cravath, an early 20th-century American Major League Baseball outfielder known for his powerful hitting and home run titles.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ae006ec8190abd23f650ca5bf53 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef810d6108190b2b2067cce12955b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:48 p.m.