Triple

T16200249
Position Surface form Disambiguated ID Type / Status
Subject Sister Helen Prejean E393179 entity
Predicate religiousName P13363 FINISHED
Object Sister Helen Prejean E393179 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: Sister Helen Prejean | Statement: [Sister Helen Prejean, religiousName, Sister Helen Prejean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sister Helen Prejean
Context triple: [Sister Helen Prejean, religiousName, Sister Helen Prejean]
  • A. Sister Helen Prejean chosen
    Sister Helen Prejean is an American Catholic nun, author, and leading anti–death penalty activist best known for her book "Dead Man Walking."
  • B. Helen Prejean
    Helen Prejean is an American Catholic nun and prominent anti–death penalty activist best known for her advocacy for death row inmates and her memoir "Dead Man Walking."
  • C. Sister Mary Patrick
    Sister Mary Patrick is a bubbly, optimistic nun and supporting character in the comedy film "Sister Act."
  • D. Sister Mary Lazarus
    Sister Mary Lazarus is a sharp-tongued, elderly nun and choir member known for her deadpan humor and unexpected musical talent in the Sister Act films.
  • E. Sister Mary Benedict
    Sister Mary Benedict is the compassionate and determined nun, portrayed by Ingrid Bergman, who helps run a struggling parochial school in the classic film "The Bells of St. Mary's."
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22709b0d88190b40787e0520d02ab completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078db04081909f7e14b09687ba67 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.