Triple

T15710281
Position Surface form Disambiguated ID Type / Status
Subject Cassian Elwes E380818 entity
Predicate notableWork P4 FINISHED
Object The Catcher Was a Spy E428559 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: The Catcher Was a Spy | Statement: [Cassian Elwes, notableWork, The Catcher Was a Spy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Catcher Was a Spy
Context triple: [Cassian Elwes, notableWork, The Catcher Was a Spy]
  • A. The Catcher Was a Spy chosen
    The Catcher Was a Spy is a 2018 biographical spy drama film about Major League Baseball player-turned-World War II spy Moe Berg, based on Nicholas Dawidoff’s nonfiction book of the same name.
  • B. I Was a Spy
    I Was a Spy is a 1933 British war drama film about a Belgian woman who becomes a spy during World War I.
  • C. The Spy
    "The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
  • D. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • E. King of Spies
    King of Spies is a creator-owned espionage comic series from Mark Millar’s Millarworld imprint that follows an aging British secret agent waging a brutal one-man war on corruption.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.