Triple

T8449323
Position Surface form Disambiguated ID Type / Status
Subject Four Rooms E199761 entity
Predicate cinematographyBy P1953 FINISHED
Object Andrzej Sekuła E422792 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: Andrzej Sekuła | Statement: [Four Rooms, cinematographyBy, Andrzej Sekuła]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrzej Sekuła
Context triple: [Four Rooms, cinematographyBy, Andrzej Sekuła]
  • A. Andrzej Sekuła chosen
    Andrzej Sekuła is a Polish cinematographer best known for his work on influential films of the 1990s, particularly in collaboration with director Quentin Tarantino.
  • B. Andrzej Ryżewski
    Andrzej Ryżewski is a Polish academic who has served as the rector of the University of Białystok.
  • C. Andrzej Jaraczewski
    Andrzej Jaraczewski was a Polish engineer and naval officer best known as the husband of Jadwiga Piłsudska, daughter of Marshal Józef Piłsudski.
  • 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. 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe445b7988190b53ae45070c70d1d completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f030fc8190961bcb067350e3e6 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:09 p.m.