Triple

T14028424
Position Surface form Disambiguated ID Type / Status
Subject Scary Movie 4 E337523 entity
Predicate writer P1360 FINISHED
Object Pat Proft E437348 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: Pat Proft | Statement: [Scary Movie 4, writer, Pat Proft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Proft
Context triple: [Scary Movie 4, writer, Pat Proft]
  • A. Pat Proft chosen
    Pat Proft is an American comedy writer and screenwriter best known for his work on spoof film franchises such as The Naked Gun and Police Academy.
  • B. Alan Emtage
    Alan Emtage is a computer scientist best known for creating Archie, the first widely used Internet search engine, which laid foundational groundwork for modern web search.
  • C. Rob Tapert
    Rob Tapert is an American film and television producer best known for co-creating and producing genre series like Xena: Warrior Princess and Spartacus, as well as collaborating frequently with director Sam Raimi on horror and fantasy projects.
  • D. Richard Hamlett
    Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
  • E. Dan Wyllie
    Dan Wyllie is an Australian actor known for his work in film, television, and theatre, including prominent roles in acclaimed Australian dramas.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc333b7a08190b4f121fef69f7513 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.