Triple

T15205670
Position Surface form Disambiguated ID Type / Status
Subject Lucrezia de' Medici E363381 entity
Predicate relative P37 FINISHED
Object Clarice Orsini E73494 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: Clarice Orsini | Statement: [Lucrezia de' Medici, relative, Clarice Orsini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarice Orsini
Context triple: [Lucrezia de' Medici, relative, Clarice Orsini]
  • A. Clarice Orsini chosen
    Clarice Orsini was a 15th-century Italian noblewoman of the Orsini family and wife of Lorenzo de' Medici, noted as the mother of Pope Leo X.
  • B. Alfonsina Orsini
    Alfonsina Orsini was an influential Italian noblewoman of the Medici family who played a key political role in early 16th-century Florence and the Papal court.
  • C. Signora Madeline Vesey Neroni
    Signora Madeline Vesey Neroni is a beautiful, manipulative, and flirtatious disabled woman in Anthony Trollope’s novel "Barchester Towers," known for her dramatic presence and social influence.
  • D. Lavinia Valbonesi
    Lavinia Valbonesi is an Ecuadorian nutritionist, social media influencer, and First Lady of Ecuador as the wife of President Daniel Noboa.
  • E. Sophia Subercaseaux
    Sophia Subercaseaux is an editor known for her work on the novel "The Devil All the Time."
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:11 a.m.