Triple

T9792621
Position Surface form Disambiguated ID Type / Status
Subject Daniel Ortega E237640 entity
Predicate familyName P18 FINISHED
Object Ortega E582688 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: Ortega | Statement: [Daniel Ortega, familyName, Ortega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ortega
Context triple: [Daniel Ortega, familyName, Ortega]
  • A. Ortega chosen
    Ortega is a Spanish surname most famously associated with the influential 20th-century philosopher José Ortega y Gasset.
  • B. D’Ortega
    D’Ortega is a slave-owning character in Toni Morrison’s novel "A Mercy," known for his role in the enslavement of Florens’s mother and others on his plantation.
  • C. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • D. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.