Triple

T19726070
Position Surface form Disambiguated ID Type / Status
Subject Rosa Louise McCauley E473729 entity
Predicate spouse P13 FINISHED
Object Raymond Parks 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: Raymond Parks | Statement: [Rosa Louise McCauley, spouse, Raymond Parks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Parks
Context triple: [Rosa Louise McCauley, spouse, Raymond Parks]
  • A. Raymond Parks chosen
    Raymond Parks was an African American barber and civil rights activist in Montgomery, Alabama, known for his early involvement in the NAACP and support of his wife Rosa Parks’ historic role in the civil rights movement.
  • B. Raymond Chambers
    Raymond Chambers is an American philanthropist and businessman known for his work in global health initiatives and efforts to combat malaria.
  • C. Raymond Mansfield
    Raymond Mansfield is a film producer best known for his work on acclaimed movies such as "BlacKkKlansman."
  • D. Thomas Parris
    Thomas Parris was a member of the Parris family of colonial Salem, known primarily as the brother of Elizabeth Parris, whose accusations helped spark the Salem witch trials.
  • E. Raymond Wheeler
    Raymond Wheeler was a senior United States Army general who played a key leadership role in Allied operations in the China-Burma-India theater during World War II.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f7bedc81908f784832c0fc10a1 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.