Triple

T16832869
Position Surface form Disambiguated ID Type / Status
Subject Ferdinando Galiani E409192 entity
Predicate givenName P17 FINISHED
Object Ferdinando E466087 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: Ferdinando | Statement: [Ferdinando Galiani, givenName, Ferdinando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdinando
Context triple: [Ferdinando Galiani, givenName, Ferdinando]
  • A. Ferdinando chosen
    Ferdinando is a masculine given name of Italian and Spanish origin, related to the name Ferdinand and historically borne by various European nobles and notable figures.
  • B. Ludovico
    Ludovico is an Italian given name, historically borne by various notable figures in art, music, and nobility.
  • C. Federico
    Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
  • D. Gian Gastone
    Gian Gastone was the last Grand Duke of Tuscany from the Medici dynasty, known for his reclusive rule and the decline of Medici power.
  • E. Francesco
    Francesco is a masculine given name of Italian origin, derived from the Latin Franciscus and commonly associated with figures such as Saint Francis of Assisi.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b318b8b88190b3266f4f06a955c1 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a2a5348190b14af8ab88a281b7 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.