Triple

T2872410
Position Surface form Disambiguated ID Type / Status
Subject Doris Kearns Goodwin E56793 entity
Predicate hasWrittenAbout P14097 FINISHED
Object Abraham Lincoln E268 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: Abraham Lincoln | Statement: [Doris Kearns Goodwin, hasWrittenAbout, Abraham Lincoln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham Lincoln
Context triple: [Doris Kearns Goodwin, hasWrittenAbout, Abraham Lincoln]
  • A. Abraham Lincoln chosen
    Abraham Lincoln was the 16th president of the United States, best known for leading the country through the Civil War and issuing the Emancipation Proclamation that began the process of ending slavery.
  • B. Lincoln
    Lincoln is a 2012 historical drama film directed by Steven Spielberg that focuses on U.S. President Abraham Lincoln’s efforts to pass the Thirteenth Amendment abolishing slavery.
  • C. Lincoln
    Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
  • D. Lincoln
    Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
  • E. Lincoln
    Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abdfe46a1c819084399a191f0dfe9c completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d56399881909f5e54f751fe5ad0 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:03 p.m.