Triple

T7259383
Position Surface form Disambiguated ID Type / Status
Subject Alexander Gruszynski E159607 entity
Predicate familyName P18 FINISHED
Object 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: Gruszynski | Statement: [Alexander Gruszynski, familyName, Gruszynski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gruszynski
Context triple: [Alexander Gruszynski, familyName, 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. Majchrowski
    Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
  • C. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • D. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • E. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac340a0819084015a5fbf7a5539 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b99af08190a28d77e7363edf45 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.