Triple

T29647171
Position Surface form Disambiguated ID Type / Status
Subject Duke of Leeds E756033 entity
Predicate lastHolder P3710 FINISHED
Object D’Arcy Osborne, 12th Duke of Leeds
D’Arcy Osborne, 12th Duke of Leeds, was a British aristocrat notable for being the final holder of the historic Dukedom of Leeds before its extinction.
E1879986 NE FINISHED

How this triple was built (2 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: D’Arcy Osborne, 12th Duke of Leeds | Statement: [Duke of Leeds, lastHolder, D’Arcy Osborne, 12th Duke of Leeds]
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: D’Arcy Osborne, 12th Duke of Leeds
Triple: [Duke of Leeds, lastHolder, D’Arcy Osborne, 12th Duke of Leeds]
Generated description
D’Arcy Osborne, 12th Duke of Leeds, was a British aristocrat notable for being the final holder of the historic Dukedom of Leeds before its extinction.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66ed3d37c81909b3e973fb9dd70cc completed May 2, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267eb2872881908729b625fd6d1015 completed June 8, 2026, 8:34 a.m.
NEDg Description generation batch_6a26854a2c808190a6edb112d33e7060 completed June 8, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a26891bff7881909e14cd4bdb71e602 completed June 8, 2026, 9:19 a.m.
Created at: April 28, 2026, 6:50 p.m.