Triple

T13709444
Position Surface form Disambiguated ID Type / Status
Subject The Last Innocent Man E328730 entity
Predicate cinematographer P1953 FINISHED
Object Alexander Gruszynski E159607 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: Alexander Gruszynski | Statement: [The Last Innocent Man, cinematographer, Alexander Gruszynski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Gruszynski
Context triple: [The Last Innocent Man, cinematographer, Alexander Gruszynski]
  • A. Alexander Gruszynski chosen
    Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
  • B. Edward Szczepanik
    Edward Szczepanik was a Polish economist and politician who served as the last prime minister of the Polish government-in-exile before the restoration of democracy in Poland.
  • C. Jan Zaleski
    Jan Zaleski was a Polish biochemist known for his pioneering research in organic and physiological chemistry in the early 20th century.
  • D. Piotr Wysocki
    Piotr Wysocki was a Polish army officer and independence activist best known for initiating the November Uprising of 1830 against Russian rule.
  • E. Marek Zaleski
    Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967cea3c81909d9b600501897a41 completed May 9, 2026, 2:05 a.m.
Created at: April 9, 2026, 9:54 p.m.