Triple

T17386156
Position Surface form Disambiguated ID Type / Status
Subject Shannon Award E422691 entity
Predicate hasRecipient P108 FINISHED
Object Sergio Verdú 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: Sergio Verdú | Statement: [Shannon Award, hasRecipient, Sergio Verdú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio Verdú
Context triple: [Shannon Award, hasRecipient, Sergio Verdú]
  • A. Sergio Verdú chosen
    Sergio Verdú is a prominent information theorist known for his foundational contributions to multiuser detection and information theory, recognized by major honors in the field.
  • B. Sergio Peris-Mencheta
    Sergio Peris-Mencheta is a Spanish actor known for his work in film, television, and theater, including a prominent role in the action franchise film "Rambo: Last Blood."
  • C. Rafael Pérez-Botija
    Rafael Pérez-Botija is a Spanish composer and record producer known for his work on numerous Latin pop albums and hit songs from the 1970s onward.
  • D. Pablo Díaz-Reixa
    Pablo Díaz-Reixa is a Spanish musician and producer best known for his experimental, tropical-influenced pop project El Guincho.
  • E. Jaime Lorente
    Jaime Lorente is a Spanish actor best known internationally for his role as Denver in the hit Netflix series "Money Heist" and for appearing in other popular Spanish dramas.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a89c5008190a277a68e5cfe67b7 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.