Triple

T16133945
Position Surface form Disambiguated ID Type / Status
Subject David di Donatello for Best Actress E391471 entity
Predicate hasNotableRecipient P108 FINISHED
Object Margherita Buy E924588 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: Margherita Buy | Statement: [David di Donatello for Best Actress, hasNotableRecipient, Margherita Buy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margherita Buy
Context triple: [David di Donatello for Best Actress, hasNotableRecipient, Margherita Buy]
  • A. Margherita Buy chosen
    Margherita Buy is an acclaimed Italian actress known for her nuanced performances in contemporary Italian cinema and frequent collaborations with prominent directors.
  • B. Margherita Dall’Aglio
    Margherita Dall’Aglio was the wife of renowned Italian typographer and printer Giambattista Bodoni.
  • C. Bella d’Amico
    Bella d’Amico was a medieval noblewoman known primarily as the mother of the famed Aragonese admiral Roger of Lauria.
  • D. Margherita
    Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
  • E. Margherita
    Margherita is a coal-mining town in Assam, India, known for its tea gardens and proximity to the Patkai hills near the India–Myanmar border.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a039f0c8190a679e16a27f2dbe3 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b39bbc8190a2cb77a3f0a329fd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.