Triple

T7466238
Position Surface form Disambiguated ID Type / Status
Subject William Cowper E176378 entity
Predicate residence P75 FINISHED
Object Olney E127998 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: Olney | Statement: [William Cowper, residence, Olney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olney
Context triple: [William Cowper, residence, Olney]
  • A. Olney chosen
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • B. Olney Manor Park
    Olney Manor Park is a public recreational park in Olney, Maryland, featuring sports facilities, open green spaces, and community amenities for local residents.
  • C. Olney, Maryland
    Olney, Maryland is a suburban community in central Maryland known for its residential neighborhoods, good schools, and proximity to Washington, D.C.
  • D. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • E. Olneyville
    Olneyville is a historically industrial, working-class neighborhood in the west side of Providence, Rhode Island, known for its diverse population and ongoing urban revitalization.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f412908190ac910ecae682d6f6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5f1f408190a7d42abe28605ddb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:40 p.m.