Triple

T14847889
Position Surface form Disambiguated ID Type / Status
Subject Bernie Casey E349146 entity
Predicate notableWork P4 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: [Bernie Casey, notableWork, Spies Like Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spies Like Us
Context triple: [Bernie Casey, notableWork, 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 German-origin surname most notably associated with August Spies, a prominent 19th-century anarchist and labor activist involved in the Haymarket affair.
  • D. Spies
    Spies is a novel by Michael Frayn that explores childhood memory, secrecy, and the blurred line between imagination and reality in wartime England.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6502d3f081909ff6fa8722769e2e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.