Triple

T14368343
Position Surface form Disambiguated ID Type / Status
Subject A Nightmare on Elm Street 4: The Dream Master E356291 entity
Predicate featuresCharacter P626 FINISHED
Object Kristen Parker 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: Kristen Parker | Statement: [A Nightmare on Elm Street 4: The Dream Master, featuresCharacter, Kristen Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Parker
Context triple: [A Nightmare on Elm Street 4: The Dream Master, featuresCharacter, Kristen Parker]
  • A. Kristen Parker chosen
    Kristen Parker is a central teenage protagonist in the A Nightmare on Elm Street horror franchise, known for her psychic ability to pull others into her dreams to fight Freddy Krueger.
  • B. Kristen Pazik
    Kristen Pazik is an American model known for her work in fashion and for being married to Ukrainian football legend Andriy Shevchenko.
  • C. Kristen Scott
    Kristen Scott is a reality television personality best known for appearing as a cast member on the VH1 series "Basketball Wives."
  • D. Kimberly Parker
    Kimberly Parker is a film producer known for her work on the 2013 drama "A Teacher."
  • E. Kirsten Smith
    Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
Created at: April 10, 2026, 1:15 a.m.