Triple

T5969180
Position Surface form Disambiguated ID Type / Status
Subject Emilio E132829 entity
Predicate hasVariant P455 FINISHED
Object Emilio (Italian form) E132829 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: Emilio (Italian form) | Statement: [Emilio, hasVariant, Emilio (Italian form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilio (Italian form)
Context triple: [Emilio, hasVariant, Emilio (Italian form)]
  • A. Emilio chosen
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • B. Emanuele
    Emanuele is an Italian given name, equivalent to Emmanuel, commonly used for males in Italian-speaking regions.
  • C. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • D. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • E. Tommaso
    Tommaso is the given name of Thomas Francis, Prince of Carignano, a 17th-century Italian nobleman of the House of Savoy.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a40cfe08190a40de42831af7cf8 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1083b22788190be47b593b30184c6 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:03 p.m.