Triple

T19331591
Position Surface form Disambiguated ID Type / Status
Subject Andrzej Bartkowiak E483508 entity
Predicate directed P7373 FINISHED
Object Cradle 2 the Grave 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: Cradle 2 the Grave | Statement: [Andrzej Bartkowiak, directed, Cradle 2 the Grave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cradle 2 the Grave
Context triple: [Andrzej Bartkowiak, directed, Cradle 2 the Grave]
  • A. Cradle 2 the Grave chosen
    Cradle 2 the Grave is a 2003 action film starring DMX and Jet Li that blends martial arts, heist elements, and urban crime drama.
  • B. Cradle To Grave
    Cradle to Grave is a British comedy-drama television series based on the teenage years of broadcaster Danny Baker in 1970s South London.
  • C. From Cradle to Grave
    From Cradle to Grave is a chapter in Milton and Rose Friedman's influential book "Free to Choose" that critiques government welfare and social insurance programs across individuals' lifetimes.
  • D. Cradle
    Cradle is a science fiction novel co-written by Arthur C. Clarke and Gentry Lee that explores alien contact, advanced technology, and humanity’s future.
  • E. Grave Sight
    Grave Sight is a mystery novel with paranormal elements by Charlaine Harris, introducing a heroine who can sense how people died.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.