Triple

T12967243
Position Surface form Disambiguated ID Type / Status
Subject William Copp E321292 entity
Predicate familyName P18 FINISHED
Object Copp
Copp is a surname of English origin borne by various individuals and families.
 E1013540 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: Copp | Statement: [William Copp, familyName, Copp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Copp
Context triple: [William Copp, familyName, Copp]
  • A. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • B. Klepper
    Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
  • C. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • D. The Couv
    The Couv is a colloquial nickname for Vancouver, Washington, used by locals and nearby residents.
  • E. CUPAR
    CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
  • 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: Copp
Triple: [William Copp, familyName, Copp]
Generated description
Copp is a surname of English origin borne by various individuals and families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Copp
Target entity description: Copp is a surname of English origin borne by various individuals and families.
  • A. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • B. Klepper
    Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
  • C. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • D. The Couv
    The Couv is a colloquial nickname for Vancouver, Washington, used by locals and nearby residents.
  • E. CUPAR
    CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e4e1a48190b8f7253717746295 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9db8164819086a3a27692d681d5 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb03d8d88190930edd0f49fec8aa completed May 3, 2026, 3:03 a.m.
Created at: April 9, 2026, 8:30 p.m.