Triple

T18650293
Position Surface form Disambiguated ID Type / Status
Subject Helena Davidová E455914 entity
Predicate familyName P18 FINISHED
Object Davidová NE NERFINISHED

How this triple was built (2 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: Davidová | Statement: [Helena Davidová, familyName, Davidová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davidová
Context triple: [Helena Davidová, familyName, Davidová]
  • A. Žofia
    Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
  • B. Nemšová
    Nemšová is a small town in western Slovakia known for its location near the Czech border and the Váh River within the Trenčín administrative area.
  • C. 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.
  • D. Pekarová chosen
    Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
  • E. Drahomíra
    Drahomíra was a 10th-century Duchess of Bohemia, historically known as the mother of Saint Wenceslas and for her controversial role in early Czech Christian history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55010d27c8190aad8d3c9e8cd31b2 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.