Triple

T2855020
Position Surface form Disambiguated ID Type / Status
Subject The Crying of Lot 49 E63178 entity
Predicate containsFictionalWork P31994 FINISHED
Object The Courier’s Tragedy
The Courier’s Tragedy is a fictional Jacobean-style revenge play embedded within Thomas Pynchon’s novel "The Crying of Lot 49," serving as a key metafictional device that deepens the book’s themes of conspiracy and hidden communication.
E304955 NE FINISHED

How this triple was built (5 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 Courier’s Tragedy | Statement: [The Crying of Lot 49, containsFictionalWork, The Courier’s Tragedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Courier’s Tragedy
Context triple: [The Crying of Lot 49, containsFictionalWork, The Courier’s Tragedy]
  • A. The Laughing Cavalier
    The Laughing Cavalier is a famous 1624 portrait by Dutch Golden Age painter Frans Hals, celebrated for its lively brushwork, vivid detail, and the subject’s enigmatic, almost smiling expression.
  • B. Queen Henrietta's Men
    Queen Henrietta's Men was a prominent Caroline-era English playing company active in the 1620s and 1630s, known for performing at the Cockpit Theatre and for its association with Queen Henrietta Maria.
  • C. Trial of the Sixteen
    The Trial of the Sixteen was a 1936 Soviet show trial in Moscow in which prominent Old Bolsheviks were accused of treason and summarily condemned, marking a key early stage of Stalin’s Great Purge.
  • D. The Tailor of Gloucester
    The Tailor of Gloucester is a classic children's story by Beatrix Potter about a poor tailor whose work is mysteriously completed by helpful mice on Christmas Eve.
  • E. The Duchess of Malfi
    The Duchess of Malfi is a dark Jacobean tragedy by John Webster that explores corruption, power, and female agency within an Italian court.
  • 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: The Courier’s Tragedy
Triple: [The Crying of Lot 49, containsFictionalWork, The Courier’s Tragedy]
Generated description
The Courier’s Tragedy is a fictional Jacobean-style revenge play embedded within Thomas Pynchon’s novel "The Crying of Lot 49," serving as a key metafictional device that deepens the book’s themes of conspiracy and hidden communication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Courier’s Tragedy
Target entity description: The Courier’s Tragedy is a fictional Jacobean-style revenge play embedded within Thomas Pynchon’s novel "The Crying of Lot 49," serving as a key metafictional device that deepens the book’s themes of conspiracy and hidden communication.
  • A. The Laughing Cavalier
    The Laughing Cavalier is a famous 1624 portrait by Dutch Golden Age painter Frans Hals, celebrated for its lively brushwork, vivid detail, and the subject’s enigmatic, almost smiling expression.
  • B. Queen Henrietta's Men
    Queen Henrietta's Men was a prominent Caroline-era English playing company active in the 1620s and 1630s, known for performing at the Cockpit Theatre and for its association with Queen Henrietta Maria.
  • C. Trial of the Sixteen
    The Trial of the Sixteen was a 1936 Soviet show trial in Moscow in which prominent Old Bolsheviks were accused of treason and summarily condemned, marking a key early stage of Stalin’s Great Purge.
  • D. The Tailor of Gloucester
    The Tailor of Gloucester is a classic children's story by Beatrix Potter about a poor tailor whose work is mysteriously completed by helpful mice on Christmas Eve.
  • E. The Duchess of Malfi
    The Duchess of Malfi is a dark Jacobean tragedy by John Webster that explores corruption, power, and female agency within an Italian court.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsFictionalWork
Context triple: [The Crying of Lot 49, containsFictionalWork, The Courier’s Tragedy]
  • A. hasFictionComponent chosen
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • B. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • C. hasFictionalUniverseElement
    Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
  • D. fictionalWorkTitle
    Indicates the title assigned to a fictional work, such as a novel, film, or game.
  • E. employsFictionalCharacter
    Indicates that one entity (typically an organization or individual) has hired or uses the services of a fictional character in some capacity.
  • F. None of above.

Provenance (6 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8d0eec8190b0b29407264fb2bd completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b020869d7c81909d9a00cc43f0ed7d completed March 10, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b02122270c8190a063f09acefcbb18 completed March 10, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69abdd10aef88190b750aae07e7df4dc completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.