Triple

T20460713
Position Surface form Disambiguated ID Type / Status
Subject Oliver Hirschbiegel E501914 entity
Predicate directed P7373 FINISHED
Object The Invasion 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: The Invasion | Statement: [Oliver Hirschbiegel, directed, The Invasion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Invasion
Context triple: [Oliver Hirschbiegel, directed, The Invasion]
  • A. The Invasion
    The Invasion is a film featuring Canadian actor and martial artist Jeff Wincott in a prominent role.
  • B. The Invasion chosen
    The Invasion is a 2007 science fiction horror film, loosely based on "Invasion of the Body Snatchers," starring Nicole Kidman and Daniel Craig and directed by Oliver Hirschbiegel.
  • C. The Invasion
    The Invasion is a classic Doctor Who serial featuring the Second Doctor and marking a major early appearance of the Cybermen in a contemporary Earth setting.
  • D. L’Invasion
    L’Invasion is a play by French dramatist Arthur Adamov, associated with the Theatre of the Absurd and known for its exploration of alienation and existential anxiety.
  • E. Invasion
    Invasion is a science fiction television series that follows the global impact of an alien invasion through the intertwined perspectives of ordinary people around the world.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a642648190808709020f91122b completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.