Triple

T13694334
Position Surface form Disambiguated ID Type / Status
Subject This Christmas E328344 entity
Predicate cinematographyBy 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: [This Christmas, cinematographyBy, Alexander Gruszynski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Gruszynski
Context triple: [This Christmas, cinematographyBy, 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e72b9f08190a33e8e20541edd21 completed May 9, 2026, 12:23 a.m.
Created at: April 9, 2026, 9:54 p.m.