Triple

T15103878
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 3: Back in Training E360736 entity
Predicate stars P1956 FINISHED
Object Debralee Scott E213902 NE FINISHED

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: Debralee Scott | Statement: [Police Academy 3: Back in Training, stars, Debralee Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debralee Scott
Context triple: [Police Academy 3: Back in Training, stars, Debralee Scott]
  • A. Debralee Scott chosen
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • B. Stefanie Scott
    Stefanie Scott is an American actress and singer best known for her roles in the Disney Channel series "A.N.T. Farm" and various horror and thriller films.
  • C. Teri Hudson
    Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
  • D. Debra Hill
    Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
  • E. Deborah Shelton
    Deborah Shelton is an American actress and former beauty queen best known for her role on the TV series "Dallas" and for appearing in Brian De Palma’s thriller "Body Double."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1337412081909f683ed542699ed5 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 3:05 a.m.