Triple

T624314
Position Surface form Disambiguated ID Type / Status
Subject Benito Mussolini E14582 entity
Predicate givenName P17 FINISHED
Object Benito E14582 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: Benito | Statement: [Benito Mussolini, givenName, Benito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benito
Context triple: [Benito Mussolini, givenName, Benito]
  • A. Benito chosen
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • B. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Nicolás
    Nicolás is a masculine given name of Greek origin, commonly used in Spanish-speaking countries and derived from the name Nicholas, meaning "victory of the people."
  • E. Alessandro
    Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e43002c81908e0c7dab29b75978 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63742d8a8819087c7c2fa2430da75 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:35 p.m.