Triple

T22643522
Position Surface form Disambiguated ID Type / Status
Subject Amar, Verbo Intransitivo E558892 entity
Predicate protagonist P268 FINISHED
Object Carlos NE NERFINISHED

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 | Statement: [Amar, Verbo Intransitivo, protagonist, Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos
Context triple: [Amar, Verbo Intransitivo, protagonist, Carlos]
  • A. Carlos chosen
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • B. Carlos
    Carlos is a biographical political thriller miniseries about the life of Venezuelan revolutionary and terrorist Ilich Ramírez Sánchez, known as "Carlos the Jackal."
  • C. Carlos V
    Carlos V is the dynastic title claimed by Infante Carlos, Count of Molina, as the Carlist pretender to the Spanish throne in the 19th century.
  • D. Karlos Vianako Printzea
    Karlos Vianako Printzea is the Basque name for Charles, Prince of Viana, a 15th-century Navarrese royal heir known for his political struggles and cultural patronage.
  • E. Manuel
    Manuel is a Spanish noble family name historically associated with medieval Castilian aristocracy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703577948190ae044df4f8500bfe completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.