Triple

T19788619
Position Surface form Disambiguated ID Type / Status
Subject Berger E475344 entity
Predicate hasVariant P455 FINISHED
Object Bergier
Bergier is a surname, likely a variant of "Berger," associated with various individuals of French or European origin.
 E1396516 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: Bergier | Statement: [Berger, hasVariant, Bergier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bergier
Context triple: [Berger, hasVariant, Bergier]
  • A. Bergher
    Bergher is a surname variant of Berger, typically of Germanic origin and associated with families from German-speaking or Central European regions.
  • B. 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.
  • C. Bollaert
    Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
  • 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. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • 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: Bergier
Triple: [Berger, hasVariant, Bergier]
Generated description
Bergier is a surname, likely a variant of "Berger," associated with various individuals of French or European origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bergier
Target entity description: Bergier is a surname, likely a variant of "Berger," associated with various individuals of French or European origin.
  • A. Bergher
    Bergher is a surname variant of Berger, typically of Germanic origin and associated with families from German-speaking or Central European regions.
  • B. 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.
  • C. Bollaert
    Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
  • 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. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • 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_6a07ccc21fec81908fdbe8ff9dc85ed1 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07cda79f888190864242de43d07252 completed May 16, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_6a07ce502b948190b726ab45645b6b3f completed May 16, 2026, 1:54 a.m.
Created at: April 10, 2026, 1:49 p.m.