Triple

T19446646
Position Surface form Disambiguated ID Type / Status
Subject John Martin E486494 entity
Predicate name P16 FINISHED
Object John Martin — 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: John Martin | Statement: [John Martin, name, John Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Martin
Context triple: [John Martin, name, John Martin]
  • A. John Martin
    John Martin was a 19th-century American politician who served as a U.S. Senator from Kansas.
  • B. John Martin chosen
    John Martin was a 19th-century English Romantic painter renowned for his dramatic, apocalyptic, and biblical-themed landscapes.
  • C. John Martin
    John Martin was an American statesman who represented South Carolina in the Continental Congress during the Revolutionary era.
  • D. Benjamin Robert Haydon
    Benjamin Robert Haydon was a 19th-century English painter and influential art teacher known for his large-scale historical works and for mentoring prominent artists of the Victorian era.
  • E. Charles Bridgeman
    Charles Bridgeman was an influential early 18th-century English landscape designer who helped pioneer the transition from formal Baroque gardens to the more naturalistic English landscape style.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.