Triple

T12801882
Position Surface form Disambiguated ID Type / Status
Subject Ray County, Missouri E306037 entity
Predicate namedAfter P63 FINISHED
Object John Ray E306037 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: John Ray | Statement: [Ray County, Missouri, namedAfter, John Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ray
Context triple: [Ray County, Missouri, namedAfter, John Ray]
  • A. John Ray chosen
    John Ray was an early settler and prominent local figure after whom Ray County in Missouri was named.
  • B. John H. Ray
    John H. Ray was an American lawyer and Democratic politician who served as a U.S. Representative from New York in the mid-20th century.
  • C. Philip Miller
    Philip Miller is a South African composer known for his film scores and collaborations that often explore themes of apartheid, memory, and social justice.
  • D. Philip Miller
    Philip Miller was an 18th-century Scottish botanist and chief gardener at the Chelsea Physic Garden, renowned for his influential horticultural reference work "The Gardener's Dictionary."
  • E. John Berkenhout
    John Berkenhout was an 18th-century English physician and naturalist known for his taxonomic work, including the early scientific description of the Norway rat.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7d3f5c8190bf01bef5d263ca26 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6851143588190b0980e760e030b0b completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.