Triple

T8450571
Position Surface form Disambiguated ID Type / Status
Subject For Colored Girls E199787 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: [For Colored Girls, cinematographyBy, Alexander Gruszynski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Gruszynski
Context triple: [For Colored Girls, 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. Piotr Wysocki
    Piotr Wysocki was a Polish army officer and independence activist best known for initiating the November Uprising of 1830 against Russian rule.
  • D. Piotr Stepnowski
    Piotr Stepnowski is a Polish academic and administrator who serves as the rector of the University of Gdańsk.
  • E. Krystian Godlewski
    Krystian Godlewski is an actor and motion-capture performer best known for physically portraying Groot in the Marvel film "Guardians of the Galaxy."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f030fc8190961bcb067350e3e6 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:09 p.m.