Triple

T20561930
Position Surface form Disambiguated ID Type / Status
Subject Stephanie Beacham E504862 entity
Predicate notableRole P22 FINISHED
Object Sister Kate Lambert 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: Sister Kate Lambert | Statement: [Stephanie Beacham, notableRole, Sister Kate Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sister Kate Lambert
Context triple: [Stephanie Beacham, notableRole, Sister Kate Lambert]
  • A. Sister Kate
    Sister Kate is a song by American singer-songwriter Kate Taylor, known for its blend of folk, rock, and soul influences.
  • B. Sister Kate chosen
    Sister Kate is a British television sitcom starring Stephanie Beacham as a nun who becomes the guardian of a group of orphans.
  • C. Sister Anderson
    Sister Anderson is a central character in the 2012 musical drama film "Sparkle," which follows a young singer’s rise to fame and the challenges faced by her family.
  • D. Katherine Schofield
    Katherine Schofield is an actress known for her role in the biographical television film "The Josephine Baker Story."
  • E. Sister Luke
    Sister Luke is the dedicated yet internally conflicted Belgian nun who serves as the central protagonist in Kathryn Hulme’s novel and its film adaptation "The Nun’s Story."
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79ec10481909740eb6a08ae2658 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.