Triple

T4229622
Position Surface form Disambiguated ID Type / Status
Subject Zofia Leśniowska E94546 entity
Predicate givenName P17 FINISHED
Object Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
E423642 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: Zofia | Statement: [Zofia Leśniowska, givenName, Zofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zofia
Context triple: [Zofia Leśniowska, givenName, Zofia]
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • C. Hanna Zdanowska
    Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
  • D. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • 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: Zofia
Triple: [Zofia Leśniowska, givenName, Zofia]
Generated description
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zofia
Target entity description: Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • C. Hanna Zdanowska
    Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
  • D. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a85fdbe08190bcdc18a4bc456b59 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8f374fc8190830286dfadc9bdbb completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a99a4a9c8190a7e9bbc119d8d775 completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:05 p.m.