Triple

T5968053
Position Surface form Disambiguated ID Type / Status
Subject Catherine Colepeper E132801 entity
Predicate familyName P18 FINISHED
Object Colepeper
Colepeper is an English surname historically associated with notable families involved in British political and social life.
 E559404 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: Colepeper | Statement: [Catherine Colepeper, familyName, Colepeper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colepeper
Context triple: [Catherine Colepeper, familyName, Colepeper]
  • A. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • B. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • C. Merbold
    Merbold is the surname of Ulf Merbold, a German physicist and astronaut who was the first West German citizen to fly in space.
  • D. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • E. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • 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: Colepeper
Triple: [Catherine Colepeper, familyName, Colepeper]
Generated description
Colepeper is an English surname historically associated with notable families involved in British political and social life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colepeper
Target entity description: Colepeper is an English surname historically associated with notable families involved in British political and social life.
  • A. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • B. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • C. Merbold
    Merbold is the surname of Ulf Merbold, a German physicist and astronaut who was the first West German citizen to fly in space.
  • D. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • E. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3f612481908744cb645f2ede1d completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3ff62f08190be56bb9c450c9647 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0f61d80808190913b425c3c57f990 completed March 23, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69c0f6a75b908190b35d13b9593cf21f completed March 23, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:03 p.m.