Triple

T18726082
Position Surface form Disambiguated ID Type / Status
Subject J.B. Speed School of Engineering E457902 entity
Predicate abbreviation P43 FINISHED
Object Speed School
Speed School is the engineering college of the University of Louisville, known for its rigorous co-op–integrated engineering programs.
 E1340003 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: Speed School | Statement: [J.B. Speed School of Engineering, abbreviation, Speed School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Speed School
Context triple: [J.B. Speed School of Engineering, abbreviation, Speed School]
  • A. Speed
    Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
  • B. Speed
    Speed is a small town located in Edgecombe County, North Carolina, United States.
  • C. Speed
    "Speed" is a film featuring Indian actor Sanjay Suri in a prominent role.
  • D. Speed
    Speed is a witty, pun-loving servant and comic figure in Shakespeare’s play "The Two Gentlemen of Verona."
  • E. Speed
    Speed is a Marvel Comics superhero and member of the Young Avengers known for his superhuman velocity and resemblance to Quicksilver.
  • 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: Speed School
Triple: [J.B. Speed School of Engineering, abbreviation, Speed School]
Generated description
Speed School is the engineering college of the University of Louisville, known for its rigorous co-op–integrated engineering programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Speed School
Target entity description: Speed School is the engineering college of the University of Louisville, known for its rigorous co-op–integrated engineering programs.
  • A. Speed
    "Speed" is a film featuring Indian actor Sanjay Suri in a prominent role.
  • B. Speed
    Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
  • C. Speed
    Speed is a small town located in Edgecombe County, North Carolina, United States.
  • D. Speed
    Speed is a witty, pun-loving servant and comic figure in Shakespeare’s play "The Two Gentlemen of Verona."
  • E. Speed
    Speed is a Marvel Comics superhero and member of the Young Avengers known for his superhuman velocity and resemblance to Quicksilver.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d73f68c81908a9ddf2cc2fb9813 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05325630e881908720d703b24bcee2 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a053402521c8190927afa670fb8e38e completed May 14, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05349009e481909fb757415468aa70 completed May 14, 2026, 2:33 a.m.
Created at: April 10, 2026, 11:50 a.m.