Triple

T5569034
Position Surface form Disambiguated ID Type / Status
Subject Michał E145950 entity
Predicate hasFeminineForm P1613 FINISHED
Object Michalina
Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
 E539071 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: Michalina | Statement: [Michał, hasFeminineForm, Michalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michalina
Context triple: [Michał, hasFeminineForm, Michalina]
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • D. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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: Michalina
Triple: [Michał, hasFeminineForm, Michalina]
Generated description
Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michalina
Target entity description: Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • D. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203789688190a0bab723186214ad completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f006e081908c332f0470f38374 completed March 22, 2026, 9:06 p.m.
NEDg Description generation batch_69c05b7b57d481909f830a6cf7f59c3e completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c2046c48190a5d100f2dfad8d7b completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:36 p.m.