Triple

T19547335
Position Surface form Disambiguated ID Type / Status
Subject Kola Kwariani E489107 entity
Predicate workedWith P398 FINISHED
Object Stanley Kubrick NE NERFINISHED

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: Stanley Kubrick | Statement: [Kola Kwariani, workedWith, Stanley Kubrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Kubrick
Context triple: [Kola Kwariani, workedWith, Stanley Kubrick]
  • A. Stanley Kubrick chosen
    Stanley Kubrick was an influential American film director, screenwriter, and producer renowned for his visually innovative, thematically complex works such as "2001: A Space Odyssey," "A Clockwork Orange," and "The Shining."
  • B. Sadie Gertrude Kubrick
    Sadie Gertrude Kubrick was the mother of renowned film director Stanley Kubrick.
  • C. Vivian Kubrick
    Vivian Kubrick is a British filmmaker and composer, best known as the daughter of director Stanley Kubrick and for scoring and documenting several of his films.
  • D. Christiane Kubrick
    Christiane Kubrick is a German-born painter and actress best known for her artwork and long marriage to acclaimed film director Stanley Kubrick.
  • E. Ridley Scott
    Ridley Scott is a renowned British film director and producer known for visually striking and influential works such as Alien, Blade Runner, and Gladiator.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2d8a6081908e9bb3a6f5d85896 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.