Triple

T20255738
Position Surface form Disambiguated ID Type / Status
Subject Amelia Vanek E498696 entity
Predicate createdBy P806 FINISHED
Object Jennifer Kent 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: Jennifer Kent | Statement: [Amelia Vanek, createdBy, Jennifer Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Kent
Context triple: [Amelia Vanek, createdBy, Jennifer Kent]
  • A. Jennifer Kent chosen
    Jennifer Kent is an Australian filmmaker and former actress best known for writing and directing the critically acclaimed horror film "The Babadook."
  • B. Julie Kent
    Julie Kent is a renowned American ballerina celebrated for her long and distinguished career as a principal dancer and later artistic director in the world of classical ballet.
  • C. Josephine Decker
    Josephine Decker is an American filmmaker and actress known for her psychologically rich, formally experimental independent films such as "Madeline’s Madeline" and "Shirley."
  • D. Cate Shortland
    Cate Shortland is an Australian film and television director known for character-driven dramas and for directing the Marvel superhero film "Black Widow."
  • E. Amy Jenkins
    Amy Jenkins is a British screenwriter and novelist best known for her work on the acclaimed BBC drama series "This Life."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673ab60388190be32cc69bf2b6f76 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.