Triple

T2424254
Position Surface form Disambiguated ID Type / Status
Subject Stanley Fischer E53487 entity
Predicate notableStudent P4838 FINISHED
Object Mario Draghi E145991 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: Mario Draghi | Statement: [Stanley Fischer, notableStudent, Mario Draghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Draghi
Context triple: [Stanley Fischer, notableStudent, Mario Draghi]
  • A. Mario Draghi chosen
    Mario Draghi is an Italian economist and former President of the European Central Bank who played a key role in managing the eurozone debt crisis.
  • B. 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.
  • C. Ignazio Visco
    Ignazio Visco is an Italian economist who served as Governor of the Bank of Italy.
  • D. Paolo Gentiloni
    Paolo Gentiloni is an Italian politician who has served as Prime Minister of Italy and later as European Commissioner for Economy.
  • E. Romano Prodi
    Romano Prodi is an Italian economist and politician who served as Prime Minister of Italy and President of the European Commission.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5e33208190a6899e6672b3daeb completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.