Triple

T22804718
Position Surface form Disambiguated ID Type / Status
Subject Awake (TV series) E564499 entity
Predicate pilotDirector P16460 FINISHED
Object David Slade 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: David Slade | Statement: [Awake (TV series), pilotDirector, David Slade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Slade
Context triple: [Awake (TV series), pilotDirector, David Slade]
  • A. David Slade chosen
    David Slade is a British film and television director known for his work in horror and thriller genres, including films like "Hard Candy," "30 Days of Night," and "The Twilight Saga: Eclipse."
  • B. Derek Waters
    Derek Waters is an American actor, comedian, and writer best known for co-creating and hosting the Comedy Central series "Drunk History."
  • C. Sam Winder
    Sam Winder is a person notable enough to be specifically recorded as a bearer of the surname Winder.
  • D. Lorenzo Natali
    Lorenzo Natali was an Italian politician and long-serving European Commissioner who played a key role in European integration and development policy in the late 20th century.
  • E. Ruben Fleischer
    Ruben Fleischer is an American film director and producer best known for helming movies such as "Zombieland," "Venom," and other major Hollywood action-comedies.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5b37cc8190a41d8f304ba8d609 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:31 p.m.