Triple

T2474285
Position Surface form Disambiguated ID Type / Status
Subject John Brown’s raid of 1859 E55050 entity
Predicate commander P1061 FINISHED
Object John Brown E218553 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 Brown | Statement: [John Brown’s raid of 1859, commander, John Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Brown
Context triple: [John Brown’s raid of 1859, commander, John Brown]
  • A. John Brown chosen
    John Brown was a 19th-century American abolitionist who led militant anti-slavery actions, most famously the 1859 raid on Harpers Ferry.
  • B. Nat Turner
    Nat Turner was an enslaved African American preacher who led a significant slave rebellion in Southampton County, Virginia, in 1831.
  • C. Dr. John Brown
    Dr. John Brown is a kind, rational American doctor in the novel "Like Water for Chocolate" who becomes Tita’s supportive suitor and represents a calm, nurturing alternative to her passionate but troubled love for Pedro.
  • D. Henry Chandlee Turner
    Henry Chandlee Turner was an American builder and entrepreneur best known as the founder of the major construction firm Turner Construction Company.
  • E. Paul Quantrill
    Paul Quantrill is a former Canadian Major League Baseball relief pitcher known for his durability and effectiveness out of the bullpen during the 1990s and early 2000s.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14b725c81908256c4d3bb6c5173 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8990488190bc54cc5eadf11baa completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.