Triple

T22798364
Position Surface form Disambiguated ID Type / Status
Subject Stanislava Brezovar E564310 entity
Predicate givenName P17 FINISHED
Object Stanislava
Stanislava is a feminine given name of Slavic origin, commonly used in Central and Eastern European countries.
 E1554759 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: Stanislava | Statement: [Stanislava Brezovar, givenName, Stanislava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stanislava
Context triple: [Stanislava Brezovar, givenName, Stanislava]
  • A. Bronislava
    Bronislava is a feminine given name of Slavic origin, notably borne by the influential ballet dancer and choreographer Bronislava Nijinska.
  • B. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • C. Žofia
    Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
  • D. Ludmila
    Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
  • E. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • 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: Stanislava
Triple: [Stanislava Brezovar, givenName, Stanislava]
Generated description
Stanislava is a feminine given name of Slavic origin, commonly used in Central and Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stanislava
Target entity description: Stanislava is a feminine given name of Slavic origin, commonly used in Central and Eastern European countries.
  • A. Bronislava
    Bronislava is a feminine given name of Slavic origin, notably borne by the influential ballet dancer and choreographer Bronislava Nijinska.
  • B. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • C. Žofia
    Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
  • D. Ludmila
    Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
  • E. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e977a888190a629b61b37853016 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0b9f8d55408190954f97b4504b5451 completed May 18, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba00135f88190a10c12118e48f7cc completed May 18, 2026, 11:25 p.m.
Created at: April 17, 2026, 3:31 p.m.