Triple

T8092536
Position Surface form Disambiguated ID Type / Status
Subject Vernard Eller E188902 entity
Predicate givenName P17 FINISHED
Object Vernard
Vernard is a masculine given name of English origin, used both as a first name and occasionally as a surname.
 E710692 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: Vernard | Statement: [Vernard Eller, givenName, Vernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernard
Context triple: [Vernard Eller, givenName, Vernard]
  • A. Vernie
    Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
  • B. Vondie
    Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
  • C. Jerrald
    Jerrald is the birth name of Jerry Goldsmith, the acclaimed American film and television composer known for his innovative and influential scores.
  • D. Vachel
    Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
  • E. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • 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: Vernard
Triple: [Vernard Eller, givenName, Vernard]
Generated description
Vernard is a masculine given name of English origin, used both as a first name and occasionally as a surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernard
Target entity description: Vernard is a masculine given name of English origin, used both as a first name and occasionally as a surname.
  • A. Vernie
    Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
  • B. Vondie
    Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
  • C. Jerrald
    Jerrald is the birth name of Jerry Goldsmith, the acclaimed American film and television composer known for his innovative and influential scores.
  • D. Vachel
    Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
  • E. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:30 p.m.