Triple

T5270580
Position Surface form Disambiguated ID Type / Status
Subject John Fenwick E119245 entity
Predicate familyName P18 FINISHED
Object Fenwick
Fenwick is an English surname of Anglo-Saxon origin, historically associated with families from Northumberland and surrounding regions.
E506949 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: Fenwick | Statement: [John Fenwick, familyName, Fenwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenwick
Context triple: [John Fenwick, familyName, Fenwick]
  • A. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • B. Firgrove
    Firgrove is a suburban area forming part of the town of Milnrow in Greater Manchester, England.
  • C. Fairley
    Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
  • D. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • E. De Benneville
    De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
  • 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: Fenwick
Triple: [John Fenwick, familyName, Fenwick]
Generated description
Fenwick is an English surname of Anglo-Saxon origin, historically associated with families from Northumberland and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fenwick
Target entity description: Fenwick is an English surname of Anglo-Saxon origin, historically associated with families from Northumberland and surrounding regions.
  • A. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • B. Firgrove
    Firgrove is a suburban area forming part of the town of Milnrow in Greater Manchester, England.
  • C. Fairley
    Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
  • D. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • E. De Benneville
    De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bff37cc819095423cf914086c1b completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe9542488190b715bc4bd800cb02 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffd0eac81909ba468ddd6dea687 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.