Triple

T14028423
Position Surface form Disambiguated ID Type / Status
Subject Scary Movie 4 E337523 entity
Predicate writer P1360 FINISHED
Object Jim Abrahams E323395 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: Jim Abrahams | Statement: [Scary Movie 4, writer, Jim Abrahams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Abrahams
Context triple: [Scary Movie 4, writer, Jim Abrahams]
  • A. Jim Abrahams chosen
    Jim Abrahams is an American film director, producer, and screenwriter best known for co-creating the spoof-comedy classics "Airplane!" and "The Naked Gun" series.
  • B. Jon Abrahams
    Jon Abrahams is an American actor best known for his comedic and horror film roles in the early 2000s, including prominent parts in popular parody and teen movies.
  • C. Jason Friedberg
    Jason Friedberg is an American filmmaker best known for co-writing and co-directing a series of parody films, including titles like "Date Movie," "Epic Movie," and "Disaster Movie."
  • D. John Friedberg
    John Friedberg is a film producer known for his work on action and thriller projects, including Guy Ritchie's 2023 war drama "The Covenant."
  • E. David W. Zucker
    David W. Zucker is a television producer known for overseeing high-profile, prestige drama series, including the adaptation of Philip K. Dick’s "The Man in the High Castle."
  • 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.