Triple

T4317475
Position Surface form Disambiguated ID Type / Status
Subject Jarosław Kaczyński E96427 entity
Predicate familyName P18 FINISHED
Object Kaczyński E96427 NE FINISHED

How this triple was built (2 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: Kaczyński | Statement: [Jarosław Kaczyński, familyName, Kaczyński]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaczyński
Context triple: [Jarosław Kaczyński, familyName, Kaczyński]
  • A. Lech Kaczyński
    Lech Kaczyński was a Polish politician and lawyer who served as President of Poland from 2005 until his death in 2010 and was a prominent conservative leader in the country’s post-communist era.
  • B. Jarosław Kaczyński chosen
    Jarosław Kaczyński is a Polish politician and long-time leader of the conservative Law and Justice party, widely regarded as one of the most influential figures in contemporary Polish politics.
  • C. Zbigniew
    Zbigniew is a masculine Slavic given name, particularly common in Poland.
  • D. Zbigniew Wojna
    Zbigniew Wojna is a computer scientist and researcher known for his contributions to deep learning and computer vision, including coauthoring influential work with Christian Szegedy.
  • E. Zygmunt Gorgolewski
    Zygmunt Gorgolewski was a Polish architect of the late 19th century, best known for designing prominent public buildings in Central and Eastern Europe, including the Lviv Opera House.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f733888190866611fcdea97a5f completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627cfba848190a56a25c6d7d750c7 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:12 p.m.