Triple

T15541624
Position Surface form Disambiguated ID Type / Status
Subject Chiara Offreduccio E370490 entity
Predicate givenName P17 FINISHED
Object Chiara E423011 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: Chiara | Statement: [Chiara Offreduccio, givenName, Chiara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiara
Context triple: [Chiara Offreduccio, givenName, Chiara]
  • A. Chiara chosen
    Chiara is a feminine given name, common in Italian-speaking regions and often associated with the meaning "clear" or "bright."
  • B. 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."
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • E. Chiara Nappi
    Chiara Nappi is an Italian theoretical physicist known for her work in string theory and mathematical physics.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4556ad008190a411ccd3ef0d1e89 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.