Triple

T10079198
Position Surface form Disambiguated ID Type / Status
Subject Duke of Sutherland E213854 entity
Predicate hasTitleRank P301 FINISHED
Object Duke
A duke is a high-ranking noble title, traditionally just below a prince or king in the hierarchy of European aristocracy.
E30157 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 of Sutherland, hasTitleRank, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke
Context triple: [Duke of Sutherland, hasTitleRank, 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 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 the bulldog mascot representing York Community High School’s athletic teams and school spirit.
  • 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. 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 of Sutherland, hasTitleRank, Duke]
Generated description
A duke is a high-ranking noble title, traditionally just below a prince or king in the hierarchy of European aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke
Target entity description: A duke is a high-ranking noble title, traditionally just below a prince or king in the hierarchy of European aristocracy.
  • A. Duke chosen
    A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
  • B. Duke
    Duke is a prominent American family name most famously associated with the wealthy industrialist and philanthropic Duke family of North Carolina.
  • C. Duke
    Duke is a fictional nobleman in Miguel de Cervantes’ "Don Quixote" who, along with a duchess, orchestrates elaborate pranks on Don Quixote and Sancho Panza, including Sancho’s mock governorship of the Ínsula Barataria.
  • 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 a surname most prominently associated with David Duke, an American white supremacist and former Ku Klux Klan leader.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd031ce748190bb71189afd331979 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ad406d88190a72c5a62b3586f47 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29b9910448190b148841c85f73501 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c285090819093e1a584c1ae9556 completed April 5, 2026, 5:30 p.m.
Created at: March 30, 2026, 9 p.m.