Triple

T22581224
Position Surface form Disambiguated ID Type / Status
Subject Prodi E544572 entity
Predicate notableBearer P458 FINISHED
Object Romano Prodi 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: Romano Prodi | Statement: [Prodi, notableBearer, Romano Prodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romano Prodi
Context triple: [Prodi, notableBearer, Romano Prodi]
  • A. Romano Prodi chosen
    Romano Prodi is an Italian economist and politician who served as Prime Minister of Italy and President of the European Commission.
  • B. Rocco Buttiglione
    Rocco Buttiglione is an Italian philosopher and politician known for his Christian-democratic views and long-standing involvement in centrist and Catholic-inspired political movements in Italy.
  • C. Carlo Azeglio Ciampi
    Carlo Azeglio Ciampi was an Italian economist and statesman who served as President of Italy from 1999 to 2006.
  • D. Giuliano Amato
    Giuliano Amato is an Italian jurist and politician who twice served as Prime Minister of Italy and later as a judge and president of the Constitutional Court.
  • E. Gerardo Amato
    Gerardo Amato 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff065308190bca9fb24b47757e6 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.