Triple

T2516309
Position Surface form Disambiguated ID Type / Status
Subject Succession E55419 entity
Predicate pilotDirector P16460 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: [Succession, pilotDirector, Adam McKay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam McKay
Context triple: [Succession, pilotDirector, 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. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • C. Richard Ayoade
    Richard Ayoade is a British actor, comedian, writer, and director best known for his role in "The IT Crowd" and his distinctive deadpan comedic style.
  • D. Todd Phillips
    Todd Phillips is an American filmmaker best known for directing hit comedies like The Hangover trilogy and the dark psychological comic-book film Joker.
  • E. Phil Lord
    Phil Lord is an American filmmaker, writer, and producer best known for his inventive, comedic work on projects like The Lego Movie and the 21 Jump Street and Spider-Verse films.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20f8d0c8190bfdcb99a12f59d59 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cec74ac819093529ce5843ca320 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.