Triple

T16803159
Position Surface form Disambiguated ID Type / Status
Subject Cesca E408408 entity
Predicate shortFormOf P43 FINISHED
Object Francesca E83896 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: Francesca | Statement: [Cesca, shortFormOf, Francesca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesca
Context triple: [Cesca, shortFormOf, Francesca]
  • A. Francesca chosen
    Francesca is an Italian given name, traditionally the feminine form of Francesco and commonly used in Italian-speaking and other European cultures.
  • B. Fiammetta
    Fiammetta is a 19th-century Pre-Raphaelite-style painting by English artist Emma Sandys, known for its richly detailed depiction of a contemplative female figure.
  • C. Francesca Acciaiuoli
    Francesca Acciaiuoli was a noblewoman of the influential Acciaiuoli family who became consort to Carlo I Tocco, ruler in western Greece during the late Middle Ages.
  • D. Francesca da Rimini
    Francesca da Rimini is a tragic noblewoman from Dante Alighieri’s Divine Comedy, renowned for her doomed love affair with Paolo Malatesta and her poignant appearance among the lustful in the Inferno.
  • E. Leonora
    Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2ca46f88190b56e81d75012496c completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29ea9fc81909087cdf28c9c9fc0 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:22 a.m.