Triple

T23263455
Position Surface form Disambiguated ID Type / Status
Subject Depoy family E582075 entity
Predicate associatedWith P37 FINISHED
Object Depoy, Kentucky 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: Depoy, Kentucky | Statement: [Depoy family, associatedWith, Depoy, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Depoy, Kentucky
Context triple: [Depoy family, associatedWith, Depoy, Kentucky]
  • A. Depoy, Kentucky chosen
    Depoy, Kentucky is a small unincorporated community in Muhlenberg County, known primarily as the birthplace of character actor Warren Oates.
  • B. Kevil, Kentucky
    Kevil, Kentucky is a small rural city in western Kentucky known for its proximity to the Paducah Gaseous Diffusion Plant and its agricultural surroundings.
  • C. Philpot, Kentucky
    Philpot, Kentucky is an unincorporated rural community in Daviess County known for its agricultural character and proximity to Owensboro.
  • D. Wyandotte, Kentucky
    Wyandotte, Kentucky is an unincorporated rural community located in Laurel County in southeastern Kentucky.
  • E. Sebree, Kentucky
    Sebree, Kentucky is a small city in Webster County known historically as a railroad town in western Kentucky.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194caaf208190931923744692180d completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.