Triple

T21503623
Position Surface form Disambiguated ID Type / Status
Subject Ernest Marples E530540 entity
Predicate familyName P18 FINISHED
Object Marples
Marples is an English surname most notably associated with Ernest Marples, a mid-20th-century British Conservative politician and former Minister of Transport.
 E1488249 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: Marples | Statement: [Ernest Marples, familyName, Marples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marples
Context triple: [Ernest Marples, familyName, Marples]
  • A. Malpas
    Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
  • B. Malpas
    Malpas is a small commune located in the Doubs department in the Bourgogne-Franche-Comté region of eastern France.
  • C. Mapperley
    Mapperley is a suburban residential area in the Nottingham region of England, known for its local amenities and proximity to Arnold.
  • D. Hindmarch
    Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
  • E. Lumley
    Lumley is an English surname historically associated with a prominent aristocratic family, including holders of titles such as Viscount and Earl in the British peerage.
  • 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: Marples
Triple: [Ernest Marples, familyName, Marples]
Generated description
Marples is an English surname most notably associated with Ernest Marples, a mid-20th-century British Conservative politician and former Minister of Transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marples
Target entity description: Marples is an English surname most notably associated with Ernest Marples, a mid-20th-century British Conservative politician and former Minister of Transport.
  • A. Malpas
    Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
  • B. Malpas
    Malpas is a small commune located in the Doubs department in the Bourgogne-Franche-Comté region of eastern France.
  • C. Mapperley
    Mapperley is a suburban residential area in the Nottingham region of England, known for its local amenities and proximity to Arnold.
  • D. Hindmarch
    Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
  • E. Lumley
    Lumley is an English surname historically associated with a prominent aristocratic family, including holders of titles such as Viscount and Earl in the British peerage.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5deb388190a89a1f94285b7e55 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1414ca88190973fcd9d2866c883 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e2d3cc6881909c1c23d06b8dfb16 completed May 17, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_6a09e346d35481909a6c12377e12e525 completed May 17, 2026, 3:48 p.m.
Created at: April 16, 2026, 6:24 p.m.