Triple

T11236100
Position Surface form Disambiguated ID Type / Status
Subject Three Colors: Blue E265944 entity
Predicate cinematographer P1953 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: [Three Colors: Blue, cinematographer, Sławomir Idziak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sławomir Idziak
Context triple: [Three Colors: Blue, cinematographer, 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 Ryżewski
    Andrzej Ryżewski is a Polish academic who has served as the rector of the University of Białystok.
  • C. 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.
  • D. Ryszard Koziołek
    Ryszard Koziołek is a Polish literary scholar and academic who serves as the rector of the University of Silesia in Katowice.
  • E. 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.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684ba7e0481908235e3e45f8902e6 completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:30 p.m.