Triple

T20015375
Position Surface form Disambiguated ID Type / Status
Subject Czesława Maria Cieślak E494702 entity
Predicate givenName P17 FINISHED
Object Czesława
Czesława is a Polish feminine given name, commonly used in Poland and among Polish-speaking communities.
E1407028 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: Czesława | Statement: [Czesława Maria Cieślak, givenName, Czesława]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czesława
Context triple: [Czesława Maria Cieślak, givenName, Czesława]
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Grzymisława
    Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
  • C. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • D. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • E. Krajewska
    Krajewska is the feminine form of the Polish surname Krajewski.
  • 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: Czesława
Triple: [Czesława Maria Cieślak, givenName, Czesława]
Generated description
Czesława is a Polish feminine given name, commonly used in Poland and among Polish-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Czesława
Target entity description: Czesława is a Polish feminine given name, commonly used in Poland and among Polish-speaking communities.
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Grzymisława
    Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
  • C. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • D. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • E. Krajewska
    Krajewska is the feminine form of the Polish surname Krajewski.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e25511081909f4bd039531c30ec completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080f164ed88190be61cb4637b2c626 completed May 16, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_6a080f8bb81c819098d39ad6e1642aa8 completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:34 p.m.