Triple

T2228581
Position Surface form Disambiguated ID Type / Status
Subject A Sicilian Romance E48711 entity
Predicate hasMainCharacter P1183 FINISHED
Object Emilia Mazzini E244153 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: Emilia Mazzini | Statement: [A Sicilian Romance, hasMainCharacter, Emilia Mazzini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilia Mazzini
Context triple: [A Sicilian Romance, hasMainCharacter, Emilia Mazzini]
  • A. Julia Mazzini chosen
    Julia Mazzini is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "A Sicilian Romance."
  • B. Minna Waldeck
    Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
  • C. Marquis of Mazzini
    The Marquis of Mazzini is a central aristocratic figure and oppressive patriarch in Ann Radcliffe’s Gothic novel "A Sicilian Romance."
  • D. Giuseppe Mazzini
    Giuseppe Mazzini was a 19th-century Italian nationalist, revolutionary, and key ideological leader of the movement for Italian unification.
  • E. Maria Basevi
    Maria Basevi was the mother of British statesman and novelist Benjamin Disraeli, who served twice as Prime Minister of the United Kingdom in the 19th century.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0685b688190857a76c1043f4b92 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afe4d1481908c6c27e889303892 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.