Triple

T32991020
Position Surface form Disambiguated ID Type / Status
Subject Earl of Hardwicke E844086 entity
Predicate hasTitleHolder P1911 FINISHED
Object John Manners Yorke, 7th Earl of Hardwicke
John Manners Yorke, 7th Earl of Hardwicke, was a British peer and Conservative politician who served in various public roles in the late 19th and early 20th centuries.
E2044949 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: John Manners Yorke, 7th Earl of Hardwicke | Statement: [Earl of Hardwicke, hasTitleHolder, John Manners Yorke, 7th Earl of Hardwicke]
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: John Manners Yorke, 7th Earl of Hardwicke
Triple: [Earl of Hardwicke, hasTitleHolder, John Manners Yorke, 7th Earl of Hardwicke]
Generated description
John Manners Yorke, 7th Earl of Hardwicke, was a British peer and Conservative politician who served in various public roles in the late 19th and early 20th centuries.

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_69f3494d99988190b502c68926af2c4d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d213a4148190862c180ce546494a completed May 3, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3542fea5d88190bae5b68d71557d3f completed June 19, 2026, 1:24 p.m.
NEDg Description generation batch_6a35439ad8208190a67599d411b34e38 completed June 19, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_6a354505ffd481908b3bc40d99401aa0 completed June 19, 2026, 1:32 p.m.
Created at: May 1, 2026, 1:22 a.m.