Triple

T5235400
Position Surface form Disambiguated ID Type / Status
Subject Slawomir Idziak E118208 entity
Predicate name P16 FINISHED
Object Sławomir Idziak E118208 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: Sławomir Idziak | Statement: [Slawomir Idziak, name, Sławomir Idziak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sławomir Idziak
Context triple: [Slawomir Idziak, name, Sławomir Idziak]
  • A. Slawomir Idziak chosen
    Slawomir Idziak is a renowned Polish cinematographer known for his distinctive visual style and work on both European art films and major Hollywood productions.
  • B. Andrzej Sekuła
    Andrzej Sekuła is a Polish cinematographer best known for his work on influential films of the 1990s, particularly in collaboration with director Quentin Tarantino.
  • C. Jacek Malczewski
    Jacek Malczewski was a prominent Polish painter associated with Symbolism, known for his allegorical and patriotic works at the turn of the 19th and 20th centuries.
  • D. Cezary Skubiszewski
    Cezary Skubiszewski is a Polish-born Australian composer known for his acclaimed film and television scores.
  • E. Piotr Sobociński
    Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b064b6881909f5746f55aa422c6 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77a987ec8190bda4df37468d9918 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 1:49 p.m.