Triple

T5254525
Position Surface form Disambiguated ID Type / Status
Subject Pekar E118666 entity
Predicate hasVariant P455 FINISHED
Object Pekarová
Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
E506666 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: Pekarová | Statement: [Pekar, hasVariant, Pekarová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekarová
Context triple: [Pekar, hasVariant, Pekarová]
  • A. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • B. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • C. Saltykova
    Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • 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: Pekarová
Triple: [Pekar, hasVariant, Pekarová]
Generated description
Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pekarová
Target entity description: Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
  • A. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • B. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • C. Saltykova
    Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.