Triple

T16770010
Position Surface form Disambiguated ID Type / Status
Subject Pierre Ruffey E407567 entity
Predicate familyName P18 FINISHED
Object Ruffey
Ruffey is a French surname most notably associated with Pierre Ruffey, a French general who served during World War I.
 E1232253 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: Ruffey | Statement: [Pierre Ruffey, familyName, Ruffey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruffey
Context triple: [Pierre Ruffey, familyName, Ruffey]
  • A. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • B. Collycroft
    Collycroft is a residential area and suburb within the town of Bedworth in Warwickshire, England.
  • C. Farlee
    Farlee is a given name and surname that serves as an alternative spelling of Farley.
  • D. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • E. Luffield
    Luffield is a well-known, long right-hand corner at the Silverstone Circuit that significantly influences lap times and race strategy in motorsport events held there.
  • 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: Ruffey
Triple: [Pierre Ruffey, familyName, Ruffey]
Generated description
Ruffey is a French surname most notably associated with Pierre Ruffey, a French general who served during World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruffey
Target entity description: Ruffey is a French surname most notably associated with Pierre Ruffey, a French general who served during World War I.
  • A. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • B. Collycroft
    Collycroft is a residential area and suburb within the town of Bedworth in Warwickshire, England.
  • C. Farlee
    Farlee is a given name and surname that serves as an alternative spelling of Farley.
  • D. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • E. Luffield
    Luffield is a well-known, long right-hand corner at the Silverstone Circuit that significantly influences lap times and race strategy in motorsport events held there.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0356a9c8190b316cd00223e7537 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a533e83481909966a7b86c8c8e64 completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a6d6a6d08190b103c2dfd30f0e28 completed May 10, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_6a00a749f2688190af57bd13b9dedeb1 completed May 10, 2026, 3:42 p.m.
Created at: April 10, 2026, 5:21 a.m.