Triple

T6702211
Position Surface form Disambiguated ID Type / Status
Subject Piero Angela E152907 entity
Predicate name P16 FINISHED
Object Piero Angela E152907 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: Piero Angela | Statement: [Piero Angela, name, Piero Angela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piero Angela
Context triple: [Piero Angela, name, Piero Angela]
  • A. Piero Angela chosen
    Piero Angela was a renowned Italian science journalist, television host, and writer, best known for popularizing science and culture through his long-running educational TV programs.
  • B. Carlo Broggi
    Carlo Broggi was an Italian architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • C. Piero Malvestiti
    Piero Malvestiti was an Italian politician and European statesman who played a key role in early European integration, including leadership within the institutions that preceded the European Union.
  • D. Alfredo Ceschiatti
    Alfredo Ceschiatti was a Brazilian sculptor renowned for his modernist public sculptures, particularly those integrated into the architectural ensemble of Brasília.
  • E. Marcello Masciocchi
    Marcello Masciocchi was an Italian cinematographer known for his work on numerous mid-20th-century films.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e5eb0c81908c4fa3febd2d23ca completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70083e1948190b5ee3fffb9783531 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.