Triple

T1873252
Position Surface form Disambiguated ID Type / Status
Subject Ontario Tech University E39080 entity
Predicate sportsTeamName P330 FINISHED
Object Ridgebacks
The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
E210242 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: Ridgebacks | Statement: [Ontario Tech University, sportsTeamName, Ridgebacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ridgebacks
Context triple: [Ontario Tech University, sportsTeamName, Ridgebacks]
  • A. Hunter the Ridgeback
    Hunter the Ridgeback is the canine mascot representing Ontario Tech University’s athletic teams and school spirit.
  • B. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • C. Greyhound
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • D. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • E. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • 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: Ridgebacks
Triple: [Ontario Tech University, sportsTeamName, Ridgebacks]
Generated description
The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ridgebacks
Target entity description: The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
  • A. Hunter the Ridgeback
    Hunter the Ridgeback is the canine mascot representing Ontario Tech University’s athletic teams and school spirit.
  • B. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • C. Greyhound
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • D. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • E. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d648ec8190a21445ddca6f9aa6 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5419488190ad96110f6ac7111f completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade101a7b88190b5ecb05f650efb47 completed March 8, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_69ade17ec7a0819086a2da738eb8ab76 completed March 8, 2026, 8:52 p.m.
Created at: March 4, 2026, 7:34 p.m.