Triple

T1643022
Position Surface form Disambiguated ID Type / Status
Subject Olympia Mancini E35515 entity
Predicate mother P120 FINISHED
Object Geronima Mazzarini E126714 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: Geronima Mazzarini | Statement: [Olympia Mancini, mother, Geronima Mazzarini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geronima Mazzarini
Context triple: [Olympia Mancini, mother, Geronima Mazzarini]
  • A. Geronima Mazzarini chosen
    Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
  • B. Caterina Tezio
    Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Maria Paola
    Maria Paola is the Italian form of the given name borne by Pauline Bonaparte, Napoleon Bonaparte’s influential and famously beautiful sister.
  • D. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79847cbc8190be99c66424034bce completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:28 p.m.