Triple

T21742749
Position Surface form Disambiguated ID Type / Status
Subject Jackie Framm E536702 entity
Predicate associatedWith P37 FINISHED
Object Fernfield 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: Fernfield | Statement: [Jackie Framm, associatedWith, Fernfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernfield
Context triple: [Jackie Framm, associatedWith, Fernfield]
  • A. Fernfield chosen
    Fernfield is the fictional small-town setting of the "Air Bud" film series, known as the hometown of Josh Framm and his basketball-playing dog.
  • B. Blanefield
    Blanefield is a small village in central Scotland, situated near the Campsie Fells and known for its scenic rural setting within the Stirling area.
  • C. Homersfield
    Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
  • D. Hayfield
    Hayfield is a village in Derbyshire, England, known as a gateway to the Peak District and the moorland plateau of Kinder Scout.
  • E. Fernmount
    Fernmount is a small rural locality in the Bellingen Shire on the Mid North Coast of New South Wales, Australia.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a7322348190b2145fa922c480ed completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.