Triple

T4910536
Position Surface form Disambiguated ID Type / Status
Subject Luigi Einaudi E110218 entity
Predicate employer P7 FINISHED
Object Corriere della Sera E295785 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: Corriere della Sera | Statement: [Luigi Einaudi, employer, Corriere della Sera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corriere della Sera
Context triple: [Luigi Einaudi, employer, Corriere della Sera]
  • A. Corriere della Sera chosen
    Corriere della Sera is one of Italy’s oldest and most influential daily newspapers, headquartered in Milan and known for its national and international news coverage.
  • B. L'Unità
    L'Unità was the historic daily newspaper founded by Antonio Gramsci that served for decades as the main press organ and voice of the Italian left.
  • C. L'Osservatore Romano
    L'Osservatore Romano is the official daily newspaper of the Vatican, known for publishing news and documents related to the Pope and the Catholic Church.
  • D. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • E. La Gazzetta dello Sport
    La Gazzetta dello Sport is a leading Italian daily sports newspaper, famous for its pink pages and extensive coverage of cycling and other major sports.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9acc0c819080b07e2e7924d163 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe43a888190ab1b150da0f49203 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.