Triple

T2855022
Position Surface form Disambiguated ID Type / Status
Subject The Crying of Lot 49 E63178 entity
Predicate setting P1957 FINISHED
Object San Narciso
San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
 E304956 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: San Narciso | Statement: [The Crying of Lot 49, setting, San Narciso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Narciso
Context triple: [The Crying of Lot 49, setting, San Narciso]
  • A. Le Niêsant
    Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
  • B. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • E. Glorioso
    Glorioso is the traditional nickname of Brazilian football club Botafogo de Futebol e Regatas, reflecting its proud and storied history.
  • 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: San Narciso
Triple: [The Crying of Lot 49, setting, San Narciso]
Generated description
San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Narciso
Target entity description: San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
  • A. Le Niêsant
    Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
  • B. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • E. Glorioso
    Glorioso is the traditional nickname of Brazilian football club Botafogo de Futebol e Regatas, reflecting its proud and storied history.
  • 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_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.
Created at: March 6, 2026, 10:02 p.m.