Triple

T22234213
Position Surface form Disambiguated ID Type / Status
Subject Ellen Page E549545 entity
Predicate notableWork P4 FINISHED
Object Trailer Park Boys 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: Trailer Park Boys | Statement: [Ellen Page, notableWork, Trailer Park Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trailer Park Boys
Context triple: [Ellen Page, notableWork, Trailer Park Boys]
  • A. Trailer Park Boys chosen
    Trailer Park Boys is a Canadian mockumentary-style comedy series that follows the misadventures of petty criminals living in a Nova Scotia trailer park.
  • B. Corner Gas
    Corner Gas is a Canadian television sitcom set in a small Saskatchewan town, known for its dry humor and portrayal of quirky rural characters.
  • C. Avenue K
    Avenue K is a modern shopping mall and lifestyle destination located in the heart of Kuala Lumpur City Centre, Malaysia.
  • D. King of the Hill
    King of the Hill is an American animated sitcom that follows the everyday lives of the Hill family and their neighbors in the fictional town of Arlen, Texas, known for its dry humor and grounded portrayal of middle-class life.
  • E. King of the Hill
    King of the Hill is a 1993 coming-of-age drama film directed by Steven Soderbergh, depicting a young boy’s struggle to survive during the Great Depression in St. Louis.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.