Triple

T14486141
Position Surface form Disambiguated ID Type / Status
Subject Božena Němcová E359232 entity
Predicate familyName P18 FINISHED
Object Němcová
Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
 E1100504 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: Němcová | Statement: [Božena Němcová, familyName, Němcová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Němcová
Context triple: [Božena Němcová, familyName, Němcová]
  • A. Hollanderová
    Hollanderová is a Czech or Slovak feminine surname form derived from the surname Hollander.
  • B. 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.
  • C. Lindauerová
    Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
  • D. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • E. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • 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: Němcová
Triple: [Božena Němcová, familyName, Němcová]
Generated description
Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Němcová
Target entity description: Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
  • A. Hollanderová
    Hollanderová is a Czech or Slovak feminine surname form derived from the surname Hollander.
  • B. 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.
  • C. Lindauerová
    Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
  • D. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • E. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a925148190992101984895a20b completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65ae2ef0819091c7576b9cfe5fe2 completed May 8, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69fd66476ab88190b2d410ced33ce34b completed May 8, 2026, 4:27 a.m.
Created at: April 10, 2026, 1:20 a.m.