Triple

T17628728
Position Surface form Disambiguated ID Type / Status
Subject Cabrini University E429916 entity
Predicate mascot P52 FINISHED
Object Cavalier
Cavalier is the knight-themed mascot representing Cabrini University’s athletic teams and school spirit.
 E1280201 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: Cavalier | Statement: [Cabrini University, mascot, Cavalier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cavalier
Context triple: [Cabrini University, mascot, Cavalier]
  • A. Cavalier
    Cavalier is the costumed mascot character representing the University of Virginia’s athletic teams, typically depicted as a historical Virginia cavalryman.
  • B. Cavalier
    Cavalier is the first name of Cavalier Johnson, an American politician serving as the mayor of Milwaukee, Wisconsin.
  • C. Cavalier
    The Cavalier was a named passenger train operated by the Norfolk and Western Railway, known for providing overnight service across parts of the American Southeast and Mid-Atlantic.
  • D. Cavalier
    Cavalier was a mid-20th-century American men's magazine known for publishing fiction, including early works by notable authors such as Stephen King.
  • E. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • 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: Cavalier
Triple: [Cabrini University, mascot, Cavalier]
Generated description
Cavalier is the knight-themed mascot representing Cabrini University’s athletic teams and school spirit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cavalier
Target entity description: Cavalier is the knight-themed mascot representing Cabrini University’s athletic teams and school spirit.
  • A. Cavalier
    Cavalier is the costumed mascot character representing the University of Virginia’s athletic teams, typically depicted as a historical Virginia cavalryman.
  • B. Cavalier
    Cavalier is the first name of Cavalier Johnson, an American politician serving as the mayor of Milwaukee, Wisconsin.
  • C. Cavalier
    Cavalier was a mid-20th-century American men's magazine known for publishing fiction, including early works by notable authors such as Stephen King.
  • D. Cavalier
    The Cavalier was a named passenger train operated by the Norfolk and Western Railway, known for providing overnight service across parts of the American Southeast and Mid-Atlantic.
  • E. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbf59dc8190a56aa4a2449b2e2e completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a9b15c881909e626d287e5e29b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020d0641288190ba2907f082669465 completed May 11, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a020d8d0b10819081904cdb5a422fb5 completed May 11, 2026, 5:10 p.m.
Created at: April 10, 2026, 5:52 a.m.