Triple

T19090681
Position Surface form Disambiguated ID Type / Status
Subject Grace Park E467271 entity
Predicate portrayed P1668 FINISHED
Object Katherine Kim 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: Katherine Kim | Statement: [Grace Park, portrayed, Katherine Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Kim
Context triple: [Grace Park, portrayed, Katherine Kim]
  • A. Katherine Kim chosen
    Katherine Kim is a central character on the television drama "A Million Little Things," known for her role as a successful lawyer navigating complex family and personal relationships.
  • B. Jane Kim
    Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
  • C. Willa Kim
    Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
  • D. Karen Kim
    Karen Kim is a central character in the TV drama "Mistresses," known for her complex personal life and morally ambiguous romantic entanglements.
  • E. Claudia Kim
    Claudia Kim is a South Korean actress and model known internationally for her roles in major Hollywood films and television series, including entries in the Marvel Cinematic Universe and the Wizarding World franchise.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34b6b348190bb868356ed8b655a completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.