Triple

T10124432
Position Surface form Disambiguated ID Type / Status
Subject American Psycho E226175 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: [American Psycho, cinematographyBy, Andrzej Sekuła]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrzej Sekuła
Context triple: [American Psycho, 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 Pająk
    Andrzej Pająk is a Polish politician known for serving as a senator in the Parliament of Poland.
  • C. Andrzej Ryżewski
    Andrzej Ryżewski is a Polish academic who has served as the rector of the University of Białystok.
  • D. Andrzej Jaraczewski
    Andrzej Jaraczewski was a Polish engineer and naval officer best known as the husband of Jadwiga Piłsudska, daughter of Marshal Józef Piłsudski.
  • E. Ryszard Koziołek
    Ryszard Koziołek is a Polish literary scholar and academic who serves as the rector of the University of Silesia in Katowice.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d54c32c8190b175a30c7c905cd2 completed April 10, 2026, 2:46 p.m.
Created at: March 30, 2026, 9:05 p.m.