Triple

T971463
Position Surface form Disambiguated ID Type / Status
Subject Sense and Sensibility (1995 film) E20952 entity
Predicate filmingLocation P40 FINISHED
Object Devon E100074 NE FINISHED

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: Devon | Statement: [Sense and Sensibility (1995 film), filmingLocation, Devon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devon
Context triple: [Sense and Sensibility (1995 film), filmingLocation, Devon]
  • A. Devon chosen
    Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
  • B. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • C. Cornwall
    Cornwall is a small town in central Prince Edward Island, Canada, located just west of the provincial capital, Charlottetown.
  • D. Cornwall
    Cornwall is a county in the far southwest of England, known for its rugged coastline, Celtic heritage, and popular seaside tourism.
  • E. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b44aa6088190a90c44a8f694ec41 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad230d2870819099001561e36078f5 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:40 p.m.