Triple

T9820829
Position Surface form Disambiguated ID Type / Status
Subject Duke Blue Devils E238525 entity
Predicate shortName P43 FINISHED
Object Duke
Duke is the athletic program of Duke University, best known for its highly successful NCAA Division I basketball teams and strong overall sports tradition.
E267514 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: Duke | Statement: [Duke Blue Devils, shortName, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke
Context triple: [Duke Blue Devils, shortName, Duke]
  • A. Duke
    Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
  • B. Duke
    Duke is a prominent clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
  • C. Duke
    Duke is the famous nickname of American actor John Wayne, a legendary Hollywood star known for his roles in Westerns and war films.
  • D. Duke
    Duke is a surname most prominently associated with David Duke, an American white supremacist and former Ku Klux Klan leader.
  • E. Duke
    Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
  • 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: Duke
Triple: [Duke Blue Devils, shortName, Duke]
Generated description
Duke is the athletic program of Duke University, best known for its highly successful NCAA Division I basketball teams and strong overall sports tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke
Target entity description: Duke is the athletic program of Duke University, best known for its highly successful NCAA Division I basketball teams and strong overall sports tradition.
  • A. Duke chosen
    Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
  • B. Duke
    Duke is a private research university in Durham, North Carolina, renowned for its strong academic programs and competitive NCAA Division I athletics.
  • C. Duke
    Duke is a prominent American family name most famously associated with the wealthy industrialist and philanthropic Duke family of North Carolina.
  • D. Duke
    Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
  • E. Duke
    Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d74e7a148190a9470745bfd7ad42 completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:31 p.m.