Triple

T4450547
Position Surface form Disambiguated ID Type / Status
Subject José Arcadio Buendía E97596 entity
Predicate child P120 FINISHED
Object Amaranta E98919 NE FINISHED

How this triple was built (2 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: Amaranta | Statement: [José Arcadio Buendía, child, Amaranta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amaranta
Context triple: [José Arcadio Buendía, child, Amaranta]
  • A. Amaranta chosen
    Amaranta is a central member of the Buendía family in Gabriel García Márquez’s novel "One Hundred Years of Solitude," known for her lifelong virginity, unfulfilled loves, and embodiment of solitude and stubborn pride.
  • B. Fermina Daza
    Fermina Daza is a central character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known for her complex romantic life and enduring, conflicted relationship with Florentino Ariza.
  • C. Fernanda
    Fernanda is a feminine given name commonly used in Romance-language countries, derived from the masculine name Ferdinand.
  • D. Inés
    Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
  • E. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f2377c8190b0176b4c6776815e completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138b6c8c8190a21ad00fb230c0f0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:33 p.m.