Triple

T18401023
Position Surface form Disambiguated ID Type / Status
Subject The Kentucky Fried Movie E449994 entity
Predicate writer P1360 FINISHED
Object Jim Abrahams 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: Jim Abrahams | Statement: [The Kentucky Fried Movie, writer, Jim Abrahams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Abrahams
Context triple: [The Kentucky Fried Movie, 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. Josh Abrahams
    Josh Abrahams is an Australian electronic music producer and composer known for his work in film, television, and video games.
  • C. 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.
  • D. Dan Heder
    Dan Heder is an American visual effects artist and the twin brother of actor Jon Heder.
  • E. 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."
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195185b08190bd3b5471cdc047b0 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.