Triple

T10852956
Position Surface form Disambiguated ID Type / Status
Subject Coggin College of Business E256193 entity
Predicate abbreviation P43 FINISHED
Object Coggin
Coggin is the commonly used short name for the Coggin College of Business, a business school within the University of North Florida.
E889786 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: Coggin | Statement: [Coggin College of Business, abbreviation, Coggin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coggin
Context triple: [Coggin College of Business, abbreviation, Coggin]
  • A. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • B. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • C. Cowgill
    Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
  • D. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • E. Mainhorse
    Mainhorse was a short-lived late-1960s/early-1970s progressive rock band known for featuring Swiss keyboardist Patrick Moraz before his later fame with Yes.
  • 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: Coggin
Triple: [Coggin College of Business, abbreviation, Coggin]
Generated description
Coggin is the commonly used short name for the Coggin College of Business, a business school within the University of North Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coggin
Target entity description: Coggin is the commonly used short name for the Coggin College of Business, a business school within the University of North Florida.
  • A. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • B. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • C. Cowgill
    Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
  • D. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • E. Mainhorse
    Mainhorse was a short-lived late-1960s/early-1970s progressive rock band known for featuring Swiss keyboardist Patrick Moraz before his later fame with Yes.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69ded06ea3c08190a9a9fc5fde2fd62d completed April 14, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ded43b8ca48190b49f6edf2f46870f completed April 14, 2026, 11:56 p.m.
Created at: April 8, 2026, 9:20 p.m.