Triple

T22837905
Position Surface form Disambiguated ID Type / Status
Subject Duca della Vittoria E565995 entity
Predicate nobleRank P914 FINISHED
Object Duke
A duke is a high-ranking noble title traditionally positioned just below a monarch or prince 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: [Duca della Vittoria, nobleRank, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke
Context triple: [Duca della Vittoria, nobleRank, 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 a prominent clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
  • 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: [Duca della Vittoria, nobleRank, Duke]
Generated description
A duke is a high-ranking noble title traditionally positioned just below a monarch or prince 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 monarch or prince 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 an English surname historically associated with nobility and high social rank.
  • C. Duke
    Duke is a masculine given name and nickname, often used in English-speaking countries and associated with a sense of nobility or high status.
  • D. 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.
  • E. Duke
    Duke is a prominent American family name most famously associated with the wealthy industrialist and philanthropic Duke family of North Carolina.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b3aae48190bb2785a223d135a2 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:35 p.m.