Triple

T20164177
Position Surface form Disambiguated ID Type / Status
Subject Cindy Vortex E491786 entity
Predicate creator P184 FINISHED
Object Steve Oedekerk 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: Steve Oedekerk | Statement: [Cindy Vortex, creator, Steve Oedekerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Oedekerk
Context triple: [Cindy Vortex, creator, Steve Oedekerk]
  • A. Steve Oedekerk chosen
    Steve Oedekerk is an American comedian, writer, director, and producer known for his work on films like "Ace Ventura: When Nature Calls," "Kung Pow! Enter the Fist," and the "Thumbs!" parody series.
  • B. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • C. Doug Hutchison
    Doug Hutchison is an American character actor best known for his roles in films like "The Green Mile" and TV series such as "The X-Files" and "Lost."
  • D. Troy Kinney
    Troy Kinney was an American etcher, illustrator, and author known for his detailed prints and artworks, particularly those depicting dance and theatrical subjects.
  • E. Evan Jonigkeit
    Evan Jonigkeit is an American actor known for his work in film, television, and theater, including roles in projects like "X-Men: Days of Future Past" and various independent productions.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.