Triple

T18522003
Position Surface form Disambiguated ID Type / Status
Subject Zbigniew Rybczyński E452608 entity
Predicate name P16 FINISHED
Object Zbigniew Rybczyński NE NERFINISHED

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: Zbigniew Rybczyński | Statement: [Zbigniew Rybczyński, name, Zbigniew Rybczyński]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zbigniew Rybczyński
Context triple: [Zbigniew Rybczyński, name, Zbigniew Rybczyński]
  • A. Zbigniew Rybczyński chosen
    Zbigniew Rybczyński is a Polish experimental filmmaker and cinematographer renowned for his pioneering work in video art and his Academy Award-winning short film "Tango."
  • B. Ryszard Gajewski
    Ryszard Gajewski is a Polish mountaineer renowned as a pioneer of Himalayan winter climbing.
  • C. Zbigniew Zaleski
    Zbigniew Zaleski was a Polish psychologist and politician who served as a Member of the European Parliament representing the Lublin region.
  • D. Ryszard Lenczewski
    Ryszard Lenczewski is a Polish cinematographer known for his visually distinctive work on films such as "Ida" and various international productions.
  • E. Andrzej Zaleski
    Andrzej Zaleski is a person notable enough to be recognized as a bearer of the surname Zaleski, though specific widely known biographical details are not clearly established.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338e6e188190a41a4ee12c1ad330 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.