Triple

T30256902
Position Surface form Disambiguated ID Type / Status
Subject William Charles Keppel, 4th Earl of Albemarle E769373 entity
Predicate mother P120 FINISHED
Object Elizabeth Southwell
Elizabeth Southwell was an English noblewoman of the 18th century, best known as the mother of William Charles Keppel, 4th Earl of Albemarle.
E1908201 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: Elizabeth Southwell | Statement: [William Charles Keppel, 4th Earl of Albemarle, mother, Elizabeth Southwell]
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: Elizabeth Southwell
Triple: [William Charles Keppel, 4th Earl of Albemarle, mother, Elizabeth Southwell]
Generated description
Elizabeth Southwell was an English noblewoman of the 18th century, best known as the mother of William Charles Keppel, 4th Earl of Albemarle.

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_69f22484a5f48190b678cd607700bc82 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f680a511708190a208959af5a8d016 completed May 2, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276ef026ec81908a693830d959ed0b completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a277099ff6c8190b65d807c471dfe88 completed June 9, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2771323b1c8190822f8b57d2ad21bc completed June 9, 2026, 1:49 a.m.
Created at: April 29, 2026, 7:41 p.m.