Triple

T19788618
Position Surface form Disambiguated ID Type / Status
Subject Berger E475344 entity
Predicate hasVariant P455 FINISHED
Object Bergher
Bergher is a surname variant of Berger, typically of Germanic origin and associated with families from German-speaking or Central European regions.
 E1396053 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: Bergher | Statement: [Berger, hasVariant, Bergher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bergher
Context triple: [Berger, hasVariant, Bergher]
  • A. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • B. Holterberg
    Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
  • C. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • D. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • E. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • 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: Bergher
Triple: [Berger, hasVariant, Bergher]
Generated description
Bergher is a surname variant of Berger, typically of Germanic origin and associated with families from German-speaking or Central European regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bergher
Target entity description: Bergher is a surname variant of Berger, typically of Germanic origin and associated with families from German-speaking or Central European regions.
  • A. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • B. Holterberg
    Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
  • C. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • D. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • E. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389c9ac81909e61b3cbb9213e72 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4fbbdac81909bb56c3bbd80cb92 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5aea8948190b6e5bbcea8053478 completed May 16, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6846fb481908e1d5aae2c53a7ba completed May 16, 2026, 1:21 a.m.
Created at: April 10, 2026, 1:49 p.m.