Triple

T11235906
Position Surface form Disambiguated ID Type / Status
Subject Lawn Dogs E265939 entity
Predicate filmingLocation P40 FINISHED
Object Kentucky E18292 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: Kentucky | Statement: [Lawn Dogs, filmingLocation, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentucky
Context triple: [Lawn Dogs, filmingLocation, Kentucky]
  • A. Kentucky chosen
    Kentucky is a southeastern U.S. state known for its horse racing, bourbon distilleries, bluegrass music, and diverse landscapes ranging from Appalachian mountains to fertile river valleys.
  • B. Kentucky and Missouri
    Kentucky and Missouri are neighboring U.S. states in the central United States whose shared boundary is largely defined by the Mississippi River.
  • C. Indiana and Kentucky
    Indiana and Kentucky are neighboring U.S. states in the Midwest and Upper South, respectively, separated in large part by the Ohio River.
  • D. Kentucky and Illinois
    Kentucky and Illinois are neighboring U.S. states in the Midwest and Upper South that meet along the Mississippi River.
  • E. Vantucky
    Vantucky is a colloquial, often tongue-in-cheek nickname for Vancouver, Washington, referencing its perceived rural or small-town character.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acf79b748190b117355f60c8c015 completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:30 p.m.