Triple

T7784664
Position Surface form Disambiguated ID Type / Status
Subject Caroline Elizabeth DeWint E187210 entity
Predicate familyName P18 FINISHED
Object DeWint
DeWint is a family name most notably associated with the English watercolour painter Peter De Wint and his artistic descendants.
 E693534 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: DeWint | Statement: [Caroline Elizabeth DeWint, familyName, DeWint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DeWint
Context triple: [Caroline Elizabeth DeWint, familyName, DeWint]
  • A. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • B. Schieffelin
    Schieffelin is a surname most prominently associated with a notable American family involved in business, philanthropy, and public service.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • E. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • 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: DeWint
Triple: [Caroline Elizabeth DeWint, familyName, DeWint]
Generated description
DeWint is a family name most notably associated with the English watercolour painter Peter De Wint and his artistic descendants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DeWint
Target entity description: DeWint is a family name most notably associated with the English watercolour painter Peter De Wint and his artistic descendants.
  • A. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • B. Schieffelin
    Schieffelin is a surname most prominently associated with a notable American family involved in business, philanthropy, and public service.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • E. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf210f508190b215a0ab95192689 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5f4fa6c8190a85ba9019c0e5345 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa052d4481908b89f6001aa6ea01 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:23 p.m.