Triple

T14810864
Position Surface form Disambiguated ID Type / Status
Subject Enzo Fernández E348173 entity
Predicate givenName P17 FINISHED
Object Enzo E491680 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: Enzo | Statement: [Enzo Fernández, givenName, Enzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enzo
Context triple: [Enzo Fernández, givenName, Enzo]
  • A. Enzo chosen
    Enzo is an Italian given name commonly used as a standalone name and also as a diminutive or short form of longer names like Vincenzo or Lorenzo.
  • B. Enzo Faletto
    Enzo Faletto was a Chilean sociologist and co-author of the influential work "Dependency and Development in Latin America," which helped shape dependency theory in the social sciences.
  • C. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • D. Giancarlo
    Giancarlo is an Italian masculine given name commonly used in Italy and among Italian communities worldwide.
  • E. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:46 a.m.