Triple

T6381465
Position Surface form Disambiguated ID Type / Status
Subject Paolo Gentiloni E143592 entity
Predicate name P16 FINISHED
Object Paolo Gentiloni E143592 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: Paolo Gentiloni | Statement: [Paolo Gentiloni, name, Paolo Gentiloni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paolo Gentiloni
Context triple: [Paolo Gentiloni, name, Paolo Gentiloni]
  • A. Paolo Gentiloni chosen
    Paolo Gentiloni is an Italian politician who has served as Prime Minister of Italy and later as European Commissioner for Economy.
  • B. Matteo Renzi
    Matteo Renzi is an Italian politician who served as Prime Minister of Italy from 2014 to 2016 and was leader of the centre-left Democratic Party.
  • C. Enrico Letta
    Enrico Letta is an Italian politician who served as Prime Minister of Italy from 2013 to 2014 and later became leader of the Democratic Party.
  • D. Mario Monti
    Mario Monti is an Italian economist and former Prime Minister of Italy, known for his leadership during the Eurozone crisis and his role as a European Commissioner.
  • E. Giulio Tremonti
    Giulio Tremonti is an Italian politician and economist best known for serving multiple terms as Italy’s Minister of Economy and Finance.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685385948190938b67bff671072b completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62db397f48190bc4533ce26b27a55 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.