Triple

T19903706
Position Surface form Disambiguated ID Type / Status
Subject Raúl Labrador E478357 entity
Predicate givenName P17 FINISHED
Object Raúl 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: Raúl | Statement: [Raúl Labrador, givenName, Raúl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raúl
Context triple: [Raúl Labrador, givenName, Raúl]
  • A. Raúl chosen
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Jorge
    Jorge is a central figure in Eça de Queirós’s realist novel "O Primo Basílio," embodying the bourgeois husband whose domestic life is upended by his wife’s adulterous affair.
  • C. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • D. Jorge
    Jorge is a fictional character who appears in the Mexican film "Viridiana," directed by Luis Buñuel.
  • E. Jorge
    Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65944c55481909b54a8f9a9c087d6 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.