Triple

T18441900
Position Surface form Disambiguated ID Type / Status
Subject Philip Latham E450548 entity
Predicate notableWork P4 FINISHED
Object Spy Trap
Spy Trap is a British television drama series centered on espionage and counter-intelligence during the Cold War era.
E1325737 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: Spy Trap | Statement: [Philip Latham, notableWork, Spy Trap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spy Trap
Context triple: [Philip Latham, notableWork, Spy Trap]
  • A. Spy
    Spy is a 2015 action-comedy film starring Melissa McCarthy as a desk-bound CIA analyst who goes undercover to infiltrate the world of deadly arms dealers.
  • B. Spy Game
    Spy Game is a 2001 espionage thriller film directed by Tony Scott, starring Robert Redford and Brad Pitt as CIA operatives navigating a high-stakes rescue mission amid Cold War-era intrigue.
  • C. 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.
  • D. 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.
  • E. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • 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: Spy Trap
Triple: [Philip Latham, notableWork, Spy Trap]
Generated description
Spy Trap is a British television drama series centered on espionage and counter-intelligence during the Cold War era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spy Trap
Target entity description: Spy Trap is a British television drama series centered on espionage and counter-intelligence during the Cold War era.
  • A. Spy
    Spy is a 2015 action-comedy film starring Melissa McCarthy as a desk-bound CIA analyst who goes undercover to infiltrate the world of deadly arms dealers.
  • B. Spy Game
    Spy Game is a 2001 espionage thriller film directed by Tony Scott, starring Robert Redford and Brad Pitt as CIA operatives navigating a high-stakes rescue mission amid Cold War-era intrigue.
  • C. 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.
  • D. 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.
  • E. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c11b1288190b9ed4497751197d1 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdb4c648190aa56212c3c1e15ce completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a0418c2621481909497c663272f5407 completed May 13, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_6a041bca3d688190972d5c0d5bba70ed completed May 13, 2026, 6:35 a.m.
Created at: April 10, 2026, 11:30 a.m.