Triple

T11604988
Position Surface form Disambiguated ID Type / Status
Subject Ricardo Lara E275232 entity
Predicate givenName P17 FINISHED
Object Ricardo E303673 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 | Statement: [Ricardo Lara, givenName, Ricardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricardo
Context triple: [Ricardo Lara, givenName, Ricardo]
  • A. Ricardo
    Ricardo is a surname most famously associated with David Ricardo, the influential 19th-century British political economist known for his work on comparative advantage and classical economics.
  • B. Ricardo chosen
    Ricardo is a masculine given name of Spanish and Portuguese origin, equivalent to Richard in English.
  • C. Ricard
    Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
  • D. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • E. Federico
    Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
  • 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_69ee87077d008190874a8339b64dd5ec completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.