Triple

T12029779
Position Surface form Disambiguated ID Type / Status
Subject John Fogerty E286372 entity
Predicate spouse P13 FINISHED
Object Martha Paiz
Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
E984951 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: Martha Paiz | Statement: [John Fogerty, spouse, Martha Paiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Paiz
Context triple: [John Fogerty, spouse, Martha Paiz]
  • A. Isabel Blandón
    Isabel Blandón is best known as the wife of Cuban revolutionary figure Camilo Cienfuegos.
  • B. Patricia Rojas
    Patricia Rojas is a notable individual recognized for achievements associated with the surname Rojas.
  • C. María Valenzuela
    María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
  • D. Patricia Velásquez
    Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
  • E. Cecilia Morel
    Cecilia Morel is a Chilean public figure and former First Lady of Chile, known for her social work and as the wife of former President Sebastián Piñera.
  • 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: Martha Paiz
Triple: [John Fogerty, spouse, Martha Paiz]
Generated description
Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Paiz
Target entity description: Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
  • A. Isabel Blandón
    Isabel Blandón is best known as the wife of Cuban revolutionary figure Camilo Cienfuegos.
  • B. Patricia Rojas
    Patricia Rojas is a notable individual recognized for achievements associated with the surname Rojas.
  • C. María Valenzuela
    María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
  • D. Patricia Velásquez
    Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
  • E. Cecilia Morel
    Cecilia Morel is a Chilean public figure and former First Lady of Chile, known for her social work and as the wife of former President Sebastián Piñera.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63edddad48190b5b4da184fde27dd completed May 2, 2026, 6:13 p.m.
NEDg Description generation batch_69f6415f11d88190a9f77eb1890f76ef completed May 2, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:47 p.m.