Triple

T20570346
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 5: Assignment Miami Beach E505078 entity
Predicate plotSummary P264 FINISHED
Object The bumbling Police Academy officers travel to Miami Beach for a police convention and become involved in a jewel theft scheme. LITERAL FINISHED

How this triple was built (1 step)

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: The bumbling Police Academy officers travel to Miami Beach for a police convention and become involved in a jewel theft scheme. | Statement: [Police Academy 5: Assignment Miami Beach, plotSummary, The bumbling Police Academy officers travel to Miami Beach for a police convention and become involved in a jewel theft scheme.]

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.