Triple

T12670684
Position Surface form Disambiguated ID Type / Status
Subject John Landis E302669 entity
Predicate directed P7373 FINISHED
Object Spies Like Us E337210 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: Spies Like Us | Statement: [John Landis, directed, Spies Like Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spies Like Us
Context triple: [John Landis, directed, Spies Like Us]
  • A. Spies Like Us chosen
    Spies Like Us is a 1985 Cold War comedy film starring Dan Aykroyd and Chevy Chase as inept government agents sent on a bogus espionage mission.
  • B. Spies
    Spies is a 1928 German silent espionage thriller film directed by Fritz Lang, renowned for its intricate plotting, innovative visual style, and influence on the spy genre.
  • C. Spies
    Spies is a novel by Michael Frayn that explores childhood memory, secrecy, and the blurred line between imagination and reality in wartime England.
  • D. Spies
    Spies is a German-origin surname most notably associated with August Spies, a prominent 19th-century anarchist and labor activist involved in the Haymarket affair.
  • E. Men in Black
    Men in Black is a popular sci-fi action-comedy film about a secret government agency that monitors and regulates extraterrestrial activity on Earth.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.