Triple

T18252383
Position Surface form Disambiguated ID Type / Status
Subject Giuseppina Persichetti E437124 entity
Predicate givenName P17 FINISHED
Object Giuseppina 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: Giuseppina | Statement: [Giuseppina Persichetti, givenName, Giuseppina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppina
Context triple: [Giuseppina Persichetti, givenName, Giuseppina]
  • A. Giuseppina chosen
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • B. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • C. Giorgetta
    Giorgetta is the discontented young wife at the center of Giacomo Puccini’s one-act opera *Il tabarro*, whose emotional turmoil and illicit love affair drive the tragic plot.
  • D. Antonietta
    Antonietta is a feminine given name, primarily used in Italian-speaking regions, that is a variant of the name Antoinette.
  • E. Giuliana
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd81ea3481909d96b5399f7a32b3 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.