Triple

T12983349
Position Surface form Disambiguated ID Type / Status
Subject Vittoria Colonna E321704 entity
Predicate givenName P17 FINISHED
Object Vittoria E563435 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: Vittoria | Statement: [Vittoria Colonna, givenName, Vittoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vittoria
Context triple: [Vittoria Colonna, givenName, Vittoria]
  • A. Vittoria chosen
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • B. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • C. Vincenza
    Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
  • D. Guglielma
    Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
  • E. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5ca33481909a6cb06c636889f9 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f4320881909d66eaa48f888fab completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:39 p.m.