Triple

T17398328
Position Surface form Disambiguated ID Type / Status
Subject Chiara E423011 entity
Predicate hasDiminutive P456 FINISHED
Object Chiaretta 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: Chiaretta | Statement: [Chiara, hasDiminutive, Chiaretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiaretta
Context triple: [Chiara, hasDiminutive, Chiaretta]
  • A. Chiara chosen
    Chiara is a feminine given name, common in Italian-speaking regions and often associated with the meaning "clear" or "bright."
  • B. Chianni
    Chianni is a small historic hill town in Tuscany, Italy, known for its scenic countryside, olive oil and wine production, and traditional rural character.
  • C. Chiara Aurelia
    Chiara Aurelia is an American actress known for her roles in psychological thrillers and teen dramas, including prominent performances in projects like "Gerald's Game" and the series "Cruel Summer."
  • D. Ciccone
    Ciccone is the Italian surname of American pop icon Madonna, reflecting her family’s Italian heritage.
  • E. Zambinella
    Zambinella is a mysterious and androgynous opera singer in Honoré de Balzac’s novella "Sarrasine," whose true identity and gender play a central role in the story’s themes of art, desire, and illusion.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abf7ea08190a9d9f9358e3bb684 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.