Triple

T8037376
Position Surface form Disambiguated ID Type / Status
Subject Frederick Douglass E187140 entity
Predicate spouse P13 FINISHED
Object Anna Douglass E187140 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: Anna Douglass | Statement: [Frederick Douglass, spouse, Anna Douglass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Douglass
Context triple: [Frederick Douglass, spouse, Anna Douglass]
  • A. Anna Douglass chosen
    Anna Douglass was an African American abolitionist and the first wife of Frederick Douglass, who played a crucial role in his escape from slavery and supported his activism.
  • B. Elizabeth McDowell
    Elizabeth McDowell was the wife of American Regionalist painter and muralist Thomas Hart Benton.
  • C. May Daniels
    May Daniels is a central comedic character in the play "Once in a Lifetime," known as a sharp-tongued, savvy showbiz figure navigating the chaos of early Hollywood.
  • D. Hattie Marie Damon
    Hattie Marie Damon was the wife of American physician William J. Mayo, one of the co-founders of the Mayo Clinic.
  • E. Rosetta Douglass
    Rosetta Douglass was the eldest daughter of abolitionist leader Frederick Douglass and Anna Murray Douglass, known for her own involvement in civil rights and education advocacy.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.