Triple

T20358238
Position Surface form Disambiguated ID Type / Status
Subject Gian Francesco Poggio Bracciolini E496706 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 Poggio Bracciolini, givenName, Gian Francesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gian Francesco
Context triple: [Gian Francesco Poggio Bracciolini, givenName, Gian Francesco]
  • A. Gian Francesco chosen
    Gian Francesco is the Italian given name of the early Renaissance humanist and scholar Poggio Bracciolini.
  • B. Lorenzo Ruggieri
    Lorenzo Ruggieri is a fictional character appearing in the historical novel "La Confidence des Ruggieri."
  • C. 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.
  • D. Giovanni Luigi
    Giovanni Luigi is an Italian given name, often associated with notable figures in Italian history, arts, and culture.
  • E. Giacomo Maria
    Giacomo Maria is an Italian given name, traditionally used in religious and historical contexts and often borne by notable figures in Italian history 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67855c3a88190b88839a47d01184d completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.