Triple

T31620839
Position Surface form Disambiguated ID Type / Status
Subject Simon Ramsay, 16th Earl of Dalhousie E806889 entity
Predicate mother P120 FINISHED
Object Lady Ida Louisa Bennet
Lady Ida Louisa Bennet was a British aristocrat best known as the mother of Simon Ramsay, 16th Earl of Dalhousie, and a member of the wider British nobility.
E1970011 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: Lady Ida Louisa Bennet | Statement: [Simon Ramsay, 16th Earl of Dalhousie, mother, Lady Ida Louisa Bennet]
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: Lady Ida Louisa Bennet
Triple: [Simon Ramsay, 16th Earl of Dalhousie, mother, Lady Ida Louisa Bennet]
Generated description
Lady Ida Louisa Bennet was a British aristocrat best known as the mother of Simon Ramsay, 16th Earl of Dalhousie, and a member of the wider British nobility.

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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8ae6a248190ab3ef15de1402dbc completed May 3, 2026, 1:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b56671d08819099f3c6a3590fc8e0 completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b57e697c48190885ffc72b7cef0ce completed June 12, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a2b71358f048190af47ce2f828b4815 completed June 12, 2026, 2:38 a.m.
Created at: April 30, 2026, 10:41 p.m.