Triple

T8428593
Position Surface form Disambiguated ID Type / Status
Subject La Bicicleta E199062 entity
Predicate writer P1360 FINISHED
Object Carlos Vives E731950 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: Carlos Vives | Statement: [La Bicicleta, writer, Carlos Vives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos Vives
Context triple: [La Bicicleta, writer, Carlos Vives]
  • A. Carlos Vives chosen
    Carlos Vives is a Colombian singer, songwriter, and actor known for pioneering the modern fusion of vallenato and pop music in Latin America.
  • B. Cristian Castro
    Cristian Castro is a Mexican pop singer known for his powerful vocals and numerous Latin American hits since the early 1990s.
  • C. Alejandro Sanz
    Alejandro Sanz is a Spanish singer-songwriter and musician renowned for his romantic ballads and multiple Grammy and Latin Grammy Awards.
  • D. Carlos Sanz
    Carlos Sanz is a Spanish-American character actor known for his supporting roles in action and crime films and television series.
  • E. Carlos Pulido
    Carlos Pulido is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Pulido surname.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd125a53c8190b83a4f6148baa779 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399384ec81908d3ace592d1e3aea completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.