Triple

T11591688
Position Surface form Disambiguated ID Type / Status
Subject Earl of Holderness E274896 entity
Predicate hasHolder P1911 FINISHED
Object Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
E938001 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: Robert Darcy | Statement: [Earl of Holderness, hasHolder, Robert Darcy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Darcy
Context triple: [Earl of Holderness, hasHolder, Robert Darcy]
  • A. Fitzwilliam Darcy
    Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
  • B. Arthur Darcy
    Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
  • C. Lord Darcy
    Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
  • D. William H. Wickham
    William H. Wickham was a 19th-century American politician who served as mayor of New York City and later held prominent federal patronage roles in the city’s customs administration.
  • E. Wickham
    Wickham is a small coastal mining town in Western Australia's Pilbara region, primarily serving as a support hub for nearby iron ore operations.
  • 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: Robert Darcy
Triple: [Earl of Holderness, hasHolder, Robert Darcy]
Generated description
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Darcy
Target entity description: Robert Darcy was a British nobleman who held the title of Earl of Holderness.
  • A. Fitzwilliam Darcy
    Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
  • B. Arthur Darcy
    Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
  • C. Lord Darcy
    Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
  • D. William H. Wickham
    William H. Wickham was a 19th-century American politician who served as mayor of New York City and later held prominent federal patronage roles in the city’s customs administration.
  • E. Wickham
    Wickham is a small coastal mining town in Western Australia's Pilbara region, primarily serving as a support hub for nearby iron ore operations.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d894643ae48190837502b713f5b9c6 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86f246848190a5b020c3e05d02dd completed April 26, 2026, 9:43 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:38 p.m.