Triple

T21868362
Position Surface form Disambiguated ID Type / Status
Subject Signora Madeline Vesey Neroni E539941 entity
Predicate familyName P18 FINISHED
Object Neroni 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: Neroni | Statement: [Signora Madeline Vesey Neroni, familyName, Neroni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neroni
Context triple: [Signora Madeline Vesey Neroni, familyName, Neroni]
  • A. Neroni chosen
    Neroni is the surname of Madeline Neroni, a fictional character known for her beauty, charm, and manipulative influence in Anthony Trollope’s novel "Barchester Towers."
  • B. Nerio
    Nerio is an Italian masculine given name of ancient origin, historically borne by several notable figures including medieval nobles.
  • C. Famedio
    Famedio is a grand memorial chapel and pantheon within Milan’s Monumental Cemetery, dedicated to honoring the city’s most illustrious citizens.
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Ottavianello
    Ottavianello is a red wine grape variety, better known internationally as Cinsault, used primarily in Mediterranean-style blends and rosé wines.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33305d081908cd070134420607a completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.