Triple

T19771747
Position Surface form Disambiguated ID Type / Status
Subject Kevin Pollak's Misery Loves Comedy E474904 entity
Predicate producer P490 FINISHED
Object Courtney Solomon 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: Courtney Solomon | Statement: [Kevin Pollak's Misery Loves Comedy, producer, Courtney Solomon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courtney Solomon
Context triple: [Kevin Pollak's Misery Loves Comedy, producer, Courtney Solomon]
  • A. Courtney Solomon chosen
    Courtney Solomon is a film producer and director best known for founding After Dark Films and producing genre movies such as "Cake" (2014).
  • B. Courtney Hicks
    Courtney Hicks is an American figure skater known for her powerful jumping ability and competitive performances on the national and international stage.
  • C. Nicole Solomon
    Nicole Solomon is the daughter of American figure skater and Olympic medalist Nancy Kerrigan.
  • D. Emily Saliers
    Emily Saliers is an American singer-songwriter and guitarist best known as one half of the Grammy-winning folk-rock duo Indigo Girls.
  • E. Courtney Thorne-Smith
    Courtney Thorne-Smith is an American actress best known for her television roles in series such as Melrose Place, Ally McBeal, and According to Jim.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.