Triple

T11604987
Position Surface form Disambiguated ID Type / Status
Subject Ricardo Lara E275232 entity
Predicate name P16 FINISHED
Object Ricardo Lara E275232 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: Ricardo Lara | Statement: [Ricardo Lara, name, Ricardo Lara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricardo Lara
Context triple: [Ricardo Lara, name, Ricardo Lara]
  • A. Ricardo Lara chosen
    Ricardo Lara is an American politician who serves as California's Insurance Commissioner, overseeing the state's insurance industry and consumer protection efforts.
  • B. Raúl Otero
    Raúl Otero was an architect known for his role in designing El Capitolio, the grand national capitol building in Havana, Cuba.
  • C. Nicolás Frías
    Nicolás Frías is the son of renowned Chilean writer Isabel Allende.
  • D. Jorge Bustamante
    Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
  • E. Gustavo Larrea
    Gustavo Larrea is an Ecuadorian politician who has held high-level government positions, including leadership roles in the national security and defense sector.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4711f37988190b496640c32c5bc16 completed May 1, 2026, 9:23 a.m.
Created at: April 8, 2026, 9:38 p.m.