Triple

T19904406
Position Surface form Disambiguated ID Type / Status
Subject Ann Ewing E478373 entity
Predicate portrayedBy P1507 FINISHED
Object Brenda Strong 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: Brenda Strong | Statement: [Ann Ewing, portrayedBy, Brenda Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda Strong
Context triple: [Ann Ewing, portrayedBy, Brenda Strong]
  • A. Brenda Strong chosen
    Brenda Strong is an American actress best known for her role as Mary Alice Young, the narrator of the television series "Desperate Housewives."
  • B. Brenda Patterson
    Brenda Patterson is an American woman known for being the plaintiff in the landmark U.S. Supreme Court employment discrimination case Patterson v. McLean Credit Union.
  • C. Brenda Johnson
    Brenda Johnson is known as the wife of AC/DC lead singer Brian Johnson.
  • D. Brenda Walsh
    Brenda Walsh is a central teenage character from the 1990s television drama "Beverly Hills, 90210," known for her complex relationships, family dynamics, and coming-of-age storylines.
  • E. Marlene Warfield
    Marlene Warfield is an American actress best known for her powerful supporting roles in film and television during the 1970s and 1980s, including her acclaimed performance in the movie "Network."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65945cc2081908224902d5f042d7a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.