Triple

T8831138
Position Surface form Disambiguated ID Type / Status
Subject Goldberger E210144 entity
Predicate hasVariant P455 FINISHED
Object Goldbergerová
Goldbergerová is the feminine or variant form of the surname Goldberger, commonly used in certain Slavic naming traditions.
 E761876 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: Goldbergerová | Statement: [Goldberger, hasVariant, Goldbergerová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goldbergerová
Context triple: [Goldberger, hasVariant, Goldbergerová]
  • A. Hedwig Miklas
    Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
  • B. Fischerová
    Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
  • C. Lindauerová
    Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
  • D. Anna Geislerová
    Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
  • E. Rosa Strauss
    Rosa Strauss was an individual significant enough in her community or field to have the Lewis and Rosa Strauss Memorial Fund established in her and Lewis Strauss’s honor.
  • 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: Goldbergerová
Triple: [Goldberger, hasVariant, Goldbergerová]
Generated description
Goldbergerová is the feminine or variant form of the surname Goldberger, commonly used in certain Slavic naming traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goldbergerová
Target entity description: Goldbergerová is the feminine or variant form of the surname Goldberger, commonly used in certain Slavic naming traditions.
  • A. Hedwig Miklas
    Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
  • B. Fischerová
    Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
  • C. Lindauerová
    Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
  • D. Anna Geislerová
    Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
  • E. Rosa Strauss
    Rosa Strauss was an individual significant enough in her community or field to have the Lewis and Rosa Strauss Memorial Fund established in her and Lewis Strauss’s honor.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ed2b88190b4f53b34b5a438f7 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896cf5a8819098a76288bd505c1e completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8adfe8a08190a959f650207a2ca8 completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bc521dc81908918b48a25f290bb completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:47 p.m.