Triple

T4254777
Position Surface form Disambiguated ID Type / Status
Subject Miroslav E95945 entity
Predicate hasVariant P455 FINISHED
Object Mirosław
Mirosław is a Polish masculine given name, equivalent to the Slavic name Miroslav.
E426949 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: Mirosław | Statement: [Miroslav, hasVariant, Mirosław]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirosław
Context triple: [Miroslav, hasVariant, Mirosław]
  • A. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • B. Żymierski
    Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
  • C. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • D. Jędruś
    Jędruś is a Polish diminutive form of the male given name Andrzej, often used affectionately or for children.
  • E. Jarosław
    Jarosław is a historic town in southeastern Poland known for its well-preserved Old Town and role as a former important trade center.
  • 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: Mirosław
Triple: [Miroslav, hasVariant, Mirosław]
Generated description
Mirosław is a Polish masculine given name, equivalent to the Slavic name Miroslav.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mirosław
Target entity description: Mirosław is a Polish masculine given name, equivalent to the Slavic name Miroslav.
  • A. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • B. Żymierski
    Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
  • C. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • D. Jędruś
    Jędruś is a Polish diminutive form of the male given name Andrzej, often used affectionately or for children.
  • E. Jarosław
    Jarosław is a historic town in southeastern Poland known for its well-preserved Old Town and role as a former important trade center.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78422a88190a67921ee38638ac8 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5bb4d7b8c8190910525c855c83b83 completed March 14, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5bbba644881908f2f3be9dda7042b completed March 14, 2026, 7:49 p.m.
Created at: March 12, 2026, 11:06 p.m.