Triple

T6901957
Position Surface form Disambiguated ID Type / Status
Subject Vern Law E159514 entity
Predicate givenName P17 FINISHED
Object Vernon
Vernon is a masculine given name of English origin, historically associated with figures such as American baseball pitcher Vern Law.
E347235 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: Vernon | Statement: [Vern Law, givenName, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon
Context triple: [Vern Law, givenName, Vernon]
  • A. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • B. Vernon
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • C. Vernon
    Vernon is a Korean-American rapper and songwriter best known as a member of the K-pop boy group Seventeen.
  • D. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • E. Vernon
    Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
  • 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: Vernon
Triple: [Vern Law, givenName, Vernon]
Generated description
Vernon is a masculine given name of English origin, historically associated with figures such as American baseball pitcher Vern Law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vernon
Target entity description: Vernon is a masculine given name of English origin, historically associated with figures such as American baseball pitcher Vern Law.
  • A. Vernon chosen
    Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
  • B. Vernon
    Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
  • C. Vernon
    Vernon is a Korean-American rapper and songwriter best known as a member of the K-pop boy group Seventeen.
  • D. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • E. Vernon
    Vernon is a small city in British Columbia, Canada, known for its lakes, outdoor recreation, and role as a service and tourism hub in the Okanagan region.
  • F. None of above.

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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98749208190842ac075255ca249 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f0dc448190914e38d780644698 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749f7ab5c8190ab823fac27f7484d completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74a6f828c8190bf0cc56227b1a5b2 completed March 28, 2026, 3:26 a.m.
Created at: March 27, 2026, 2:24 p.m.