Triple

T20246219
Position Surface form Disambiguated ID Type / Status
Subject Pure Country E498430 entity
Predicate starring P1507 FINISHED
Object Lesley Ann Warren 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: Lesley Ann Warren | Statement: [Pure Country, starring, Lesley Ann Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesley Ann Warren
Context triple: [Pure Country, starring, Lesley Ann Warren]
  • A. Lesley Ann Warren chosen
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • B. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • C. Lee Russo
    Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
  • D. Nancy Kyes
    Nancy Kyes is an American actress best known for her roles in John Carpenter films, including the original Halloween and Assault on Precinct 13.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a26c8481908f408fb6426aece9 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.