Triple

T15042339
Position Surface form Disambiguated ID Type / Status
Subject Ferdinando Carlo Gonzaga E378631 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 Carlo Gonzaga, givenName, Ferdinando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdinando
Context triple: [Ferdinando Carlo Gonzaga, 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. Francesco
    Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
  • E. Francesco
    Francesco is the Italian given name of Frank Nitti, a notorious American mobster and key figure in Al Capone’s Chicago Outfit.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.