Triple

T1810725
Position Surface form Disambiguated ID Type / Status
Subject Wincenty Witos E40324 entity
Predicate givenName P17 FINISHED
Object Wincenty
Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
E216476 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: Wincenty | Statement: [Wincenty Witos, givenName, Wincenty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wincenty
Context triple: [Wincenty Witos, givenName, Wincenty]
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • C. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • D. Zbigniew
    Zbigniew is a masculine Slavic given name, particularly common in Poland.
  • E. Władysław Korczyc
    Władysław Korczyc was a Polish-Soviet military officer and general who played a significant command role in the Polish People's Army during and after World War II.
  • 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: Wincenty
Triple: [Wincenty Witos, givenName, Wincenty]
Generated description
Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wincenty
Target entity description: Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • C. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • D. Zbigniew
    Zbigniew is a masculine Slavic given name, particularly common in Poland.
  • E. Władysław Korczyc
    Władysław Korczyc was a Polish-Soviet military officer and general who played a significant command role in the Polish People's Army during and after World War II.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c461e881908070cb80d9092981 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5b31274819086c266c1a8ba2cd8 completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6108c988190b992de20cf287da7 completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:32 p.m.