Triple

T22210602
Position Surface form Disambiguated ID Type / Status
Subject Legally Blonde 2: Red, White & Blonde E548933 entity
Predicate screenwriter P2831 FINISHED
Object Kate Kondell 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: Kate Kondell | Statement: [Legally Blonde 2: Red, White & Blonde, screenwriter, Kate Kondell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Kondell
Context triple: [Legally Blonde 2: Red, White & Blonde, screenwriter, Kate Kondell]
  • A. Kate Kondell chosen
    Kate Kondell is an American screenwriter best known for writing the political comedy film "First Daughter."
  • B. Kelly Dombrowski
    Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
  • C. Kima Greggs
    Kima Greggs is a principled and sharp Baltimore police detective in the television series "The Wire," known for her dedication to her work and her role as one of the show's central moral anchors.
  • D. Kelli Williams
    Kelli Williams is an American actress best known for her television roles in series such as "The Practice" and "Lie to Me."
  • E. Karen Gilchrist
    Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2bcf748190a9721f0c9ae17e70 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.