Triple

T1704988
Position Surface form Disambiguated ID Type / Status
Subject Enrico De Nicola E36851 entity
Predicate familyName P18 FINISHED
Object De Nicola E36851 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: De Nicola | Statement: [Enrico De Nicola, familyName, De Nicola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Nicola
Context triple: [Enrico De Nicola, familyName, De Nicola]
  • A. Luciano De Feo
    Luciano De Feo was an Italian film producer and cultural figure best known for establishing the prestigious Venice Film Festival, one of the world’s oldest and most influential film festivals.
  • B. Enrico De Nicola chosen
    Enrico De Nicola was an Italian jurist and politician who served as the first head of state of the Italian Republic after World War II.
  • C. Nicola Romeo
    Nicola Romeo was an Italian engineer and entrepreneur best known for taking over and transforming the car manufacturer that became Alfa Romeo into a prominent automotive brand.
  • D. Salvatore Lucania
    Salvatore Lucania, better known as Lucky Luciano, was a pivotal Italian-American mobster who helped create the modern American Mafia and organized crime syndicate structure in the United States.
  • E. Nicola
    Nicola is a given name used in various European languages, often as a variant of Nicholas.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f3a5a08190a2b90d9492c3192e completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad3b9c481909f83f7045789e49d completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.