Triple

T26852079
Position Surface form Disambiguated ID Type / Status
Subject Hugh Percy, 2nd Duke of Northumberland E676082 entity
Predicate titleHeld P7034 FINISHED
Object Baron Warkworth
Baron Warkworth is a British peerage title historically associated with the Percy family, notably borne by Hugh Percy before he became the 2nd Duke of Northumberland.
E1764771 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: Baron Warkworth | Statement: [Hugh Percy, 2nd Duke of Northumberland, titleHeld, Baron Warkworth]
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: Baron Warkworth
Triple: [Hugh Percy, 2nd Duke of Northumberland, titleHeld, Baron Warkworth]
Generated description
Baron Warkworth is a British peerage title historically associated with the Percy family, notably borne by Hugh Percy before he became the 2nd Duke of Northumberland.

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_69eee9b9d7708190a15d7485709ae981 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b924d0c819089d6f99cc09bbe59 completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12624bf65c8190be1e23f7f2693705 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126594394c8190b1be01eacc7740d6 completed May 24, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a12663846c48190bb9798291bd6a967 completed May 24, 2026, 2:45 a.m.
Created at: April 27, 2026, 5:18 a.m.