Triple

T18547257
Position Surface form Disambiguated ID Type / Status
Subject Sarah Brady E453269 entity
Predicate name P16 FINISHED
Object Sarah Brady 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: Sarah Brady | Statement: [Sarah Brady, name, Sarah Brady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Brady
Context triple: [Sarah Brady, name, Sarah Brady]
  • A. Sarah Brady chosen
    Sarah Brady was an American gun control advocate and chair of the Brady Campaign to Prevent Gun Violence, known for her leadership in pushing for stricter firearm legislation.
  • B. Laura Dearborn
    Laura Dearborn is a central character in Frank Norris’s novel "The Pit," portrayed as a cultured young woman whose romantic and moral struggles unfold against the backdrop of Chicago’s speculative wheat market.
  • C. Claire Underwood
    Claire Underwood is a calculating and ambitious political strategist who rises to the highest levels of power in the American government in the TV series "House of Cards."
  • D. Abbey Bartlet
    Abbey Bartlet is a fictional physician and First Lady of the United States on the television series "The West Wing," married to President Josiah Bartlet.
  • E. Beth Grant
    Beth Grant is an American character actress known for her prolific work in film and television, often portraying strict, eccentric, or morally rigid supporting characters.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534bd0614819083e326d5f22c19ac completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.