Triple

T7989847
Position Surface form Disambiguated ID Type / Status
Subject Lowell Ganz E185973 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: [Lowell Ganz, notableWork, Spies Like Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spies Like Us
Context triple: [Lowell Ganz, 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 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:16 p.m.