Triple

T13229063
Position Surface form Disambiguated ID Type / Status
Subject de Beauharnais E314960 entity
Predicate hasTitle P38 FINISHED
Object Duke
A duke is a high-ranking noble title traditionally positioned just below a prince or king in many European aristocratic hierarchies.
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: [de Beauharnais, hasTitle, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke
Context triple: [de Beauharnais, hasTitle, 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 central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
  • C. Duke
    Duke is a large, shaggy brown rescue dog who becomes one of the central comedic protagonists in the animated film "The Secret Life of Pets."
  • 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 the elderly man in "The Notebook" who narrates the love story from a nursing home, later revealed to be an older Noah reading their shared history to Allie.
  • 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: [de Beauharnais, hasTitle, Duke]
Generated description
A duke is a high-ranking noble title traditionally positioned just below a prince or king in many European aristocratic hierarchies.
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 positioned just below a prince or king in many European aristocratic hierarchies.
  • 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 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.
  • 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 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70099f98081909877392c9ec49766 completed May 3, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69f702620bc881909d4348fd2c709232 completed May 3, 2026, 8:08 a.m.
Created at: April 9, 2026, 9:21 p.m.