Triple

T14993159
Position Surface form Disambiguated ID Type / Status
Subject Cornell Big Red women’s lacrosse E373887 entity
Predicate teamName P7598 FINISHED
Object Big Red
Big Red is the nickname of Cornell University's athletic teams, including its women's lacrosse program.
E136572 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: Big Red | Statement: [Cornell Big Red women’s lacrosse, teamName, Big Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Red
Context triple: [Cornell Big Red women’s lacrosse, teamName, Big Red]
  • A. Big Red
    Big Red is the nickname of the former St. Louis Cardinals NFL franchise, known for its red uniforms and long, often struggling history before relocating and becoming the Arizona Cardinals.
  • B. Big Red
    Big Red is the costumed live-action hog mascot that represents the University of Arkansas Razorbacks at athletic events and school functions.
  • C. Big Red
    Big Red is the furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
  • D. Big Red
    Big Red is a cinnamon-flavored chewing gum brand produced by the Wrigley Company and known for its strong, spicy-sweet taste.
  • E. Big Red
    Big Red is the fiery and assertive captain of the Toros cheerleading squad in the teen comedy film "Bring It On."
  • 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: Big Red
Triple: [Cornell Big Red women’s lacrosse, teamName, Big Red]
Generated description
Big Red is the nickname of Cornell University's athletic teams, including its women's lacrosse program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Big Red
Target entity description: Big Red is the nickname of Cornell University's athletic teams, including its women's lacrosse program.
  • A. Big Red chosen
    Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
  • B. Big Red
    Big Red is the nickname and mascot representing Denison University's athletic teams and school spirit.
  • C. Big Red
    Big Red is the nickname and symbol representing the athletic teams and school spirit of The Lawrenceville School in New Jersey.
  • D. Big Red
    Big Red is the costumed cardinal mascot that represents Lamar University at its athletic events and campus activities.
  • E. Big Red
    Big Red is the furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969842848190a030db797c851fed completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe983820f88190843361b0ac391d38 completed May 9, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69fe98b18ab48190b2a47418904e6643 completed May 9, 2026, 2:15 a.m.
Created at: April 10, 2026, 2:53 a.m.