Triple

T15722598
Position Surface form Disambiguated ID Type / Status
Subject Kate Dibiasky E381137 entity
Predicate creator P184 FINISHED
Object Adam McKay E264228 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: Adam McKay | Statement: [Kate Dibiasky, creator, Adam McKay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam McKay
Context triple: [Kate Dibiasky, creator, Adam McKay]
  • A. Adam McKay chosen
    Adam McKay is an American filmmaker and screenwriter known for his sharp political and social satires, including films like "The Big Short" and "Vice."
  • B. David Wain
    David Wain is an American comedian, writer, director, and actor best known for co-creating the sketch comedy group The State and directing cult films like Wet Hot American Summer.
  • C. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • D. Paul King
    Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
  • E. Paul King
    Paul King is a screenwriter and storyteller known for contributing to the narrative of the classic submarine comedy film "Operation Petticoat."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:45 a.m.