Triple

T18389967
Position Surface form Disambiguated ID Type / Status
Subject Transito Ariza E449696 entity
Predicate familyName P18 FINISHED
Object Ariza 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: Ariza | Statement: [Transito Ariza, familyName, Ariza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ariza
Context triple: [Transito Ariza, familyName, Ariza]
  • A. Ariza chosen
    Ariza is a Spanish-language surname most notably associated with the character Florentino Ariza from Gabriel García Márquez’s novel "Love in the Time of Cholera."
  • B. Guzan
    Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
  • C. Azar
    Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
  • D. Abizaid
    Abizaid is the surname of John Abizaid, a retired U.S. Army general and former commander of United States Central Command.
  • E. Riza
    Riza is a masculine given name commonly used in various cultures, often with roots in Arabic and Turkish languages.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518416bc48190a20fa66c43d545d9 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.