Triple

T2265868
Position Surface form Disambiguated ID Type / Status
Subject Roman Kroitor E50143 entity
Predicate name P16 FINISHED
Object Roman Kroitor E50143 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: Roman Kroitor | Statement: [Roman Kroitor, name, Roman Kroitor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Kroitor
Context triple: [Roman Kroitor, name, Roman Kroitor]
  • A. Roman Kroitor chosen
    Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
  • B. Branko Lustig
    Branko Lustig was a Croatian film producer and Holocaust survivor best known for his Academy Award–winning work on major historical epics such as Schindler’s List and Gladiator.
  • C. Paul Varjak
    Paul Varjak is a struggling writer and Holly Golightly’s neighbor and love interest in Truman Capote’s novella and the film adaptation "Breakfast at Tiffany’s."
  • D. Giovanni Czermanik
    Giovanni Czermanik was the birth name of János Kádár, the long-serving communist leader of Hungary during much of the Cold War.
  • E. Irwin Kostal
    Irwin Kostal was an American composer, arranger, and orchestrator best known for his work on classic film and stage musicals such as "The Sound of Music," "Mary Poppins," and "West Side Story."
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18fff0c8190acd73d8db8a41cff completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d243608190bbfe5784fa06e26b completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.