Triple

T18287685
Position Surface form Disambiguated ID Type / Status
Subject George Meredith E438024 entity
Predicate notableWork P4 FINISHED
Object Vittoria 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: Vittoria | Statement: [George Meredith, notableWork, Vittoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vittoria
Context triple: [George Meredith, notableWork, 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. Vittoria
    Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
  • C. 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.
  • D. Vincenza
    Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
  • E. Guglielma
    Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500faf62081908f16ebee0a195ba2 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.