Triple

T14714670
Position Surface form Disambiguated ID Type / Status
Subject Aemilius E345645 entity
Predicate hasDerivative P9339 FINISHED
Object Emilio (Italian given name) 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 given name) | Statement: [Aemilius, hasDerivative, Emilio (Italian given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilio (Italian given name)
Context triple: [Aemilius, hasDerivative, Emilio (Italian given name)]
  • 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. Patrizio
    Patrizio is an Italian given name commonly used for men, notably borne by figures such as fashion executive Patrizio Bertelli.
  • D. Gianfranco
    Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
  • E. Giovanni
    Giovanni was the birth name of Pope Julius III, a 16th-century head of the Catholic Church and ruler of the Papal States.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.