Triple

T16475620
Position Surface form Disambiguated ID Type / Status
Subject B. Traven E400179 entity
Predicate notableWork P4 FINISHED
Object The Carreta
The Carreta is a novel by the enigmatic author B. Traven, known for its socially conscious portrayal of oppressed workers and critique of exploitation in early 20th-century Mexico.
E1215880 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: The Carreta | Statement: [B. Traven, notableWork, The Carreta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Carreta
Context triple: [B. Traven, notableWork, The Carreta]
  • A. Plateros
    Plateros is a major Catholic pilgrimage site in Zacatecas, Mexico, renowned for its sanctuary dedicated to the Santo Niño de Atocha.
  • B. El Rodadero
    El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
  • C. Aleijadinho
    Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
  • D. Lote
    Lote is a settlement associated with the Eid municipality in Norway.
  • E. La Coche
    La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
  • 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 Carreta
Triple: [B. Traven, notableWork, The Carreta]
Generated description
The Carreta is a novel by the enigmatic author B. Traven, known for its socially conscious portrayal of oppressed workers and critique of exploitation in early 20th-century Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Carreta
Target entity description: The Carreta is a novel by the enigmatic author B. Traven, known for its socially conscious portrayal of oppressed workers and critique of exploitation in early 20th-century Mexico.
  • A. Plateros
    Plateros is a major Catholic pilgrimage site in Zacatecas, Mexico, renowned for its sanctuary dedicated to the Santo Niño de Atocha.
  • B. El Rodadero
    El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
  • C. Aleijadinho
    Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
  • D. Lote
    Lote is a settlement associated with the Eid municipality in Norway.
  • E. El Jícaro
    El Jícaro is a town and municipality in northern Nicaragua, known as one of the principal urban centers of the Nueva Segovia Department.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32dd43cf88190881a5cbc80da1490 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5f238881909b5f2fb41da3f932 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00509164cc8190a381ba0a1de95ed1 completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a005447f1948190a939c0051891e444 completed May 10, 2026, 9:47 a.m.
Created at: April 10, 2026, 5:13 a.m.