Triple

T10601674
Position Surface form Disambiguated ID Type / Status
Subject Alfred Roome E275762 entity
Predicate workedOn P3 FINISHED
Object Carry On Spying E840759 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: Carry On Spying | Statement: [Alfred Roome, workedOn, Carry On Spying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carry On Spying
Context triple: [Alfred Roome, workedOn, Carry On Spying]
  • A. Carry On Spying chosen
    Carry On Spying is a 1964 British comedy film in the long-running "Carry On" series that parodies the spy genre, particularly the James Bond films.
  • B. SPY
    SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
  • 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. 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.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ea8f1688190aa36e29b52667d26 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.