Triple

T19579273
Position Surface form Disambiguated ID Type / Status
Subject Beránek E489943 entity
Predicate feminineForm P17779 FINISHED
Object Beránková
Beránková is the feminine form of the Czech surname Beránek, commonly used by women in Czech-speaking regions.
 E1383324 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: Beránková | Statement: [Beránek, feminineForm, Beránková]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beránková
Context triple: [Beránek, feminineForm, Beránková]
  • A. Božena
    Božena is a Czech feminine given name most famously borne by the 19th-century writer Božena Němcová, a key figure in Czech literature and national revival.
  • B. Beranová
    Beranová is the feminine form of the Czech surname Beran, commonly used for women in Czech-speaking contexts.
  • C. Zátopková
    Zátopková is the surname of Dana Zátopková, a renowned Czech javelin thrower and Olympic champion.
  • D. Ondráková
    Ondráková is a Czech surname most notably borne by the film actress Anny Ondra (Anna Ondráková), a star of early European cinema.
  • E. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • 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: Beránková
Triple: [Beránek, feminineForm, Beránková]
Generated description
Beránková is the feminine form of the Czech surname Beránek, commonly used by women in Czech-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beránková
Target entity description: Beránková is the feminine form of the Czech surname Beránek, commonly used by women in Czech-speaking regions.
  • A. Božena
    Božena is a Czech feminine given name most famously borne by the 19th-century writer Božena Němcová, a key figure in Czech literature and national revival.
  • B. Beranová
    Beranová is the feminine form of the Czech surname Beran, commonly used for women in Czech-speaking contexts.
  • C. Zátopková
    Zátopková is the surname of Dana Zátopková, a renowned Czech javelin thrower and Olympic champion.
  • D. Ondráková
    Ondráková is a Czech surname most notably borne by the film actress Anny Ondra (Anna Ondráková), a star of early European cinema.
  • E. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075792581881909443cecc6a9212e4 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758be89108190adb2369750eb90ca completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a07599d4c988190a32a0aa9e561a61d completed May 15, 2026, 5:36 p.m.
Created at: April 10, 2026, 1:42 p.m.