Triple

T17478414
Position Surface form Disambiguated ID Type / Status
Subject Peter Pellegrini E425596 entity
Predicate name P16 FINISHED
Object Peter Pellegrini 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: Peter Pellegrini | Statement: [Peter Pellegrini, name, Peter Pellegrini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Pellegrini
Context triple: [Peter Pellegrini, name, Peter Pellegrini]
  • A. Peter Pellegrini chosen
    Peter Pellegrini is a Slovak politician who has served in various high-ranking government roles, including prime minister, and is a leading figure in the country’s contemporary political landscape.
  • B. John Petkovic
    John Petkovic is an American musician and writer best known as the frontman of the Cleveland rock band Cobra Verde and for his work as a music journalist.
  • C. Sandro Mazzola
    Sandro Mazzola is a legendary Italian footballer best known as a star forward for Inter Milan and the Italian national team during the 1960s and 1970s.
  • D. Mauro Malavasi
    Mauro Malavasi is an Italian composer, producer, and arranger best known for his influential work in disco and R&B, particularly with artists like Change and Luther Vandross.
  • E. Daniele Pecci
    Daniele Pecci is an Italian actor known for his work in film, television, and theater.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.