Triple

T15340495
Position Surface form Disambiguated ID Type / Status
Subject Premio Biblioteca Breve E366779 entity
Predicate notableWinner P2766 FINISHED
Object Juan Marsé E563244 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: Juan Marsé | Statement: [Premio Biblioteca Breve, notableWinner, Juan Marsé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Marsé
Context triple: [Premio Biblioteca Breve, notableWinner, Juan Marsé]
  • A. Juan Marsé chosen
    Juan Marsé was a prominent Spanish novelist known for his postwar Barcelona narratives and acclaimed as one of the leading voices in contemporary Spanish literature.
  • B. Guillermo Amoedo
    Guillermo Amoedo is a Uruguayan screenwriter and filmmaker known for his collaborations with director Eli Roth on horror films.
  • C. Enrique José Varona
    Enrique José Varona was a prominent Cuban philosopher, educator, and politician known for his influential role in shaping modern Cuban intellectual and educational thought.
  • D. Roberto de la Rocha
    Roberto de la Rocha is a Mexican-American muralist and political artist known for his Chicano-themed works and as the father of musician Zack de la Rocha.
  • E. Enrique Rambal
    Enrique Rambal was a Spanish-born Mexican actor known for his work in mid-20th-century Mexican cinema and theater.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0319f248190a37c9afa09c32428 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 3:17 a.m.