Triple

T7069444
Position Surface form Disambiguated ID Type / Status
Subject Cesare Danova E164647 entity
Predicate name P16 FINISHED
Object Cesare Danova E164647 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: Cesare Danova | Statement: [Cesare Danova, name, Cesare Danova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cesare Danova
Context triple: [Cesare Danova, name, Cesare Danova]
  • A. Cesare Danova chosen
    Cesare Danova was an Italian-American character actor known for his roles in mid-20th-century Hollywood films and television, often portraying suave or aristocratic figures.
  • B. Paolo Seganti
    Paolo Seganti is an Italian actor known for his work in film and television, including prominent roles in both European productions and American soap operas.
  • C. Luciano Vincenzoni
    Luciano Vincenzoni was an Italian screenwriter best known for his work on classic Spaghetti Westerns, particularly collaborations with director Sergio Leone.
  • D. Arrigo Tessari
    Arrigo Tessari was an Italian military aviator and officer who became a prominent commander in the air force of the Italian Social Republic during World War II.
  • E. Carlo Saraceni
    Carlo Saraceni was an Italian early Baroque painter known for his small-scale, Caravaggio-influenced works that combined dramatic chiaroscuro with refined Venetian color.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4aa82108190bacd5584c1c78999 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc2600208190b996bac5845bd385 completed April 5, 2026, 2:42 a.m.
Created at: March 27, 2026, 2:39 p.m.