Triple

T17716691
Position Surface form Disambiguated ID Type / Status
Subject Duquesne Dukes football E442217 entity
Predicate mascot P52 FINISHED
Object Duke
Duke is the mascot representing Duquesne University's Dukes football team.
E1283586 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: [Duquesne Dukes football, mascot, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke
Context triple: [Duquesne Dukes football, mascot, Duke]
  • A. Duke
    Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
  • 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 a central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
  • D. Duke
    Duke is the bulldog mascot representing York Community High School’s athletic teams and school spirit.
  • E. Duke
    Duke is a narrow-gauge steam locomotive character from the Skarloey Railway in The Railway Series and Thomas & Friends franchise, known for his old-fashioned, strict yet caring personality.
  • 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: [Duquesne Dukes football, mascot, Duke]
Generated description
Duke is the mascot representing Duquesne University's Dukes football team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke
Target entity description: Duke is the mascot representing Duquesne University's Dukes football team.
  • A. Duke
    Duke is the bulldog mascot representing York Community High School’s athletic teams and school spirit.
  • B. Duke
    Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
  • C. Duke
    Duke is a private research university in Durham, North Carolina, renowned for its strong academic programs and competitive NCAA Division I athletics.
  • D. Duke
    Duke is the famous nickname of American actor John Wayne, a legendary Hollywood star known for his roles in Westerns and war films.
  • E. Duke
    Duke is an English surname historically associated with nobility and high social rank.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302bd9b08190979ee441035b17bb completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023192ea9c819096bf6ed8952f21c4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a02321a9c6c8190a86ebfdcfa32f786 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:06 a.m.