Triple

T21536936
Position Surface form Disambiguated ID Type / Status
Subject Misconduct E531371 entity
Predicate musicBy P1952 FINISHED
Object Federico Jusid 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: Federico Jusid | Statement: [Misconduct, musicBy, Federico Jusid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federico Jusid
Context triple: [Misconduct, musicBy, Federico Jusid]
  • A. Federico Jusid chosen
    Federico Jusid is an Argentine-Spanish composer best known for his film and television scores, particularly in Spanish and international cinema.
  • B. Federico Luppi
    Federico Luppi was an acclaimed Argentine actor known for his powerful performances in Latin American cinema and frequent collaborations with director Guillermo del Toro.
  • C. Raúl Leoni
    Raúl Leoni was a Venezuelan lawyer and politician who served as President of Venezuela in the 1960s, overseeing a period of democratic consolidation and economic modernization.
  • D. Federico Chabod
    Federico Chabod was an influential Italian historian and politician known for his work on modern and European history, particularly the history of political thought and nationalism.
  • E. Federico Bonelli
    Federico Bonelli is an Italian ballet dancer best known as a former principal of The Royal Ballet in London.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0e5a9c8190894ec3666d3296aa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.