Triple

T10082981
Position Surface form Disambiguated ID Type / Status
Subject Richard Wattis E213947 entity
Predicate appearedIn P795 FINISHED
Object Carry On Spying
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.
E840759 NE FINISHED

How this triple was built (4 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: [Richard Wattis, appearedIn, Carry On Spying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carry On Spying
Context triple: [Richard Wattis, appearedIn, Carry On Spying]
  • A. 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.
  • B. 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.
  • C. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • D. 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.
  • E. My Spy
    My Spy is a 2020 action-comedy film in which Dave Bautista plays a tough CIA operative who unexpectedly becomes the guardian and mentor of a precocious young girl.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carry On Spying
Triple: [Richard Wattis, appearedIn, Carry On Spying]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carry On Spying
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • D. 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.
  • E. My Spy
    My Spy is a 2020 action-comedy film in which Dave Bautista plays a tough CIA operative who unexpectedly becomes the guardian and mentor of a precocious young girl.
  • F. None of above. chosen

Provenance (5 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b66b256c8190861066f7c19008d2 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9 p.m.