Triple

T14958931
Position Surface form Disambiguated ID Type / Status
Subject Gigi Proietti E373006 entity
Predicate awardReceived P11 FINISHED
Object Globo d'oro E1054257 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: Globo d'oro | Statement: [Gigi Proietti, awardReceived, Globo d'oro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Globo d'oro
Context triple: [Gigi Proietti, awardReceived, Globo d'oro]
  • A. Globo d'Oro for Best Film chosen
    The Globo d'Oro for Best Film is a prestigious Italian film award presented by the foreign press in Italy to honor the year's most outstanding feature film.
  • B. Goldener Bär
    Goldener Bär is the German name for the Golden Bear, the top prize awarded for the best film at the Berlin International Film Festival.
  • C. Rose d'Or
    The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
  • D. Ariel Award
    The Ariel Award is Mexico’s premier national film award, presented annually by the Mexican Academy of Film Arts and Sciences to honor excellence in cinematic achievements.
  • E. Imagen Award
    The Imagen Award is an honor recognizing positive portrayals and achievements of Latinos in the entertainment industry across film, television, and other media.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
Created at: April 10, 2026, 2:40 a.m.