Triple

T1524904
Position Surface form Disambiguated ID Type / Status
Subject Ennio Morricone E32312 entity
Predicate awardReceived P11 FINISHED
Object David di Donatello E171629 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: David di Donatello | Statement: [Ennio Morricone, awardReceived, David di Donatello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David di Donatello
Context triple: [Ennio Morricone, awardReceived, David di Donatello]
  • A. David di Donatello chosen
    The David di Donatello is Italy’s premier national film award, often likened to the Oscars, honoring excellence in cinematic achievements.
  • B. Mario Castoldi
    Mario Castoldi was an Italian aeronautical engineer best known for designing high-performance fighter aircraft for the Macchi company during the World War II era.
  • C. Donatello
    Donatello was an early Renaissance Italian sculptor renowned for pioneering naturalistic, expressive sculpture in marble, bronze, and wood, profoundly shaping later artists such as Michelangelo.
  • D. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • E. Dante Spinotti
    Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9080175588190bb3b1d4b17966f2f completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2951c1ec8190b7ac04cd820a2bfa completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.