Triple

T1162561
Position Surface form Disambiguated ID Type / Status
Subject Bernard E24525 entity
Predicate hasVariant P455 FINISHED
Object Berny
Berny is a given name or nickname, typically used as a familiar or informal variant of the name Bernard.
 E133458 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: Berny | Statement: [Bernard, hasVariant, Berny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berny
Context triple: [Bernard, hasVariant, Berny]
  • A. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • B. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Balfe
    Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
  • E. Benenden
    Benenden is a rural village in Kent, England, known for its historic parish church, traditional village green, and the independent girls’ school Benenden School.
  • 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: Berny
Triple: [Bernard, hasVariant, Berny]
Generated description
Berny is a given name or nickname, typically used as a familiar or informal variant of the name Bernard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berny
Target entity description: Berny is a given name or nickname, typically used as a familiar or informal variant of the name Bernard.
  • A. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • B. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Balfe
    Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
  • E. Benenden
    Benenden is a rural village in Kent, England, known for its historic parish church, traditional village green, and the independent girls’ school Benenden School.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb2bb84819088bd94e91c10fb0c completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66803e0881908d2eea76dad028fa completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac670b57808190bee4aa0be78ae8a1 completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac67e981e88190b10ad4ab72337557 completed March 7, 2026, 6:01 p.m.
Created at: March 1, 2026, 7:45 p.m.