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.