Triple

T5249392
Position Surface form Disambiguated ID Type / Status
Subject Rachele Mussolini E118545 entity
Predicate givenName P17 FINISHED
Object Rachele E118545 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: Rachele | Statement: [Rachele Mussolini, givenName, Rachele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachele
Context triple: [Rachele Mussolini, givenName, Rachele]
  • A. Rachele chosen
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • B. Drisella
    Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
  • C. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • D. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • E. Bianca
    Bianca is a central character in William Shakespeare's comedy "The Taming of the Shrew," portrayed as the younger, seemingly more desirable and mild-mannered sister whose suitors drive much of the play's romantic intrigue.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b787b34819081af96de9355bb4f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe68e1148190b2e3cc1f9e49dbbf completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.