Triple

T22350249
Position Surface form Disambiguated ID Type / Status
Subject Gian Francesco Malipiero E552508 entity
Predicate givenName P17 FINISHED
Object Gian Francesco NE NERFINISHED

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: Gian Francesco | Statement: [Gian Francesco Malipiero, givenName, Gian Francesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gian Francesco
Context triple: [Gian Francesco Malipiero, givenName, Gian Francesco]
  • A. Gian Francesco chosen
    Gian Francesco is the Italian given name of the early Renaissance humanist and scholar Poggio Bracciolini.
  • B. Giovanni Francesco
    Giovanni Francesco was an Italian Baroque-era lawyer, poet, and librettist best known for writing the libretto to Claudio Monteverdi’s opera "L'incoronazione di Poppea."
  • C. Lorenzo Ruggieri
    Lorenzo Ruggieri is a fictional character appearing in the historical novel "La Confidence des Ruggieri."
  • D. Giovanni Muzio
    Giovanni Muzio was a prominent 20th-century Italian architect associated with the Novecento Italiano movement, known for his rationalist yet classically influenced designs in Italy and abroad.
  • E. Giovanni Luigi
    Giovanni Luigi is an Italian given name, often associated with notable figures in Italian history, arts, and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579ad6708190ba4af97a02d0758d completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.