Triple

T21744342
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Costas E536745 entity
Predicate portrayedBy P1507 FINISHED
Object Sharon Lawrence 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: Sharon Lawrence | Statement: [Sylvia Costas, portrayedBy, Sharon Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon Lawrence
Context triple: [Sylvia Costas, portrayedBy, Sharon Lawrence]
  • A. Sharon Lawrence chosen
    Sharon Lawrence is an American actress best known for her Emmy-nominated role as Assistant District Attorney Sylvia Costas on the television drama "NYPD Blue."
  • B. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • C. Lorraine Bailey
    Lorraine Bailey was the proprietor of the historic Lorraine Motel in Memphis, Tennessee, later known as the site of Dr. Martin Luther King Jr.'s assassination and now part of the National Civil Rights Museum.
  • D. Jill Eikenberry
    Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
  • E. Deborah Rush
    Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent productions.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a75352c8190bcd46759562ee251 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.