Triple

T7910023
Position Surface form Disambiguated ID Type / Status
Subject Perfect Stranger E183672 entity
Predicate screenwriter P2831 FINISHED
Object Todd Komarnicki E294365 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: Todd Komarnicki | Statement: [Perfect Stranger, screenwriter, Todd Komarnicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Komarnicki
Context triple: [Perfect Stranger, screenwriter, Todd Komarnicki]
  • A. Todd Komarnicki chosen
    Todd Komarnicki is an American screenwriter, producer, and director best known for writing the film "Sully" and producing the holiday classic "Elf."
  • B. Mike Konopacki
    Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
  • C. Peter Jankowski
    Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
  • D. Jeff Jagodzinski
    Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
  • E. David Kajganich
    David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5db9508190bbe92673ef5a7861 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfe21f9081909d45565867ac7436 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:04 p.m.