Triple

T20570338
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 5: Assignment Miami Beach E505078 entity
Predicate stars P1956 FINISHED
Object Leslie Easterbrook 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: Leslie Easterbrook | Statement: [Police Academy 5: Assignment Miami Beach, stars, Leslie Easterbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Easterbrook
Context triple: [Police Academy 5: Assignment Miami Beach, stars, Leslie Easterbrook]
  • A. Leslie Easterbrook chosen
    Leslie Easterbrook is an American actress best known for her role as Sergeant Debbie Callahan in the "Police Academy" film series.
  • B. Leslie Newman
    Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
  • C. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • D. Leslie Aday
    Leslie Aday is the former wife of rock singer Meat Loaf, known for her long marriage to the performer during the height of his fame.
  • E. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a5b0688190b45d0fa993c4765c completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.