Triple

T4557346
Position Surface form Disambiguated ID Type / Status
Subject Bridget Paston E120510 entity
Predicate title P38 FINISHED
Object Lady Coke
Lady Coke, born Bridget Paston, was an English noblewoman of the early 17th century associated with the influential Paston family and the Coke lineage.
 E452371 NE FINISHED

How this triple was built (4 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 Coke | Statement: [Bridget Paston, title, Lady Coke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lady Coke
Context triple: [Bridget Paston, title, Lady Coke]
  • A. Charlotte Coke
    Charlotte Coke was an English gentlewoman of the 18th century, best known as the mother of Peniston Lamb, 1st Viscount Melbourne.
  • B. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • C. Christina Drayton
    Christina Drayton is a central character in the 1967 film "Guess Who's Coming to Dinner," portrayed as a liberal, upper-class white woman whose beliefs about race are tested when her daughter becomes engaged to a Black man.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 Coke
Triple: [Bridget Paston, title, Lady Coke]
Generated description
Lady Coke, born Bridget Paston, was an English noblewoman of the early 17th century associated with the influential Paston family and the Coke lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lady Coke
Target entity description: Lady Coke, born Bridget Paston, was an English noblewoman of the early 17th century associated with the influential Paston family and the Coke lineage.
  • A. Charlotte Coke
    Charlotte Coke was an English gentlewoman of the 18th century, best known as the mother of Peniston Lamb, 1st Viscount Melbourne.
  • B. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • C. Christina Drayton
    Christina Drayton is a central character in the 1967 film "Guess Who's Coming to Dinner," portrayed as a liberal, upper-class white woman whose beliefs about race are tested when her daughter becomes engaged to a Black man.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • F. None of above. chosen

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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd58163e6081909d5a3aae12c42a00 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc584b3188190958de6cdc1656bf3 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc6186ae08190a8c4bf54c913641e completed March 20, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69bdc702c62881908963b9237b2857ba completed March 20, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:09 p.m.