Triple

T5764102
Position Surface form Disambiguated ID Type / Status
Subject Enzo Ferrari E127168 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 Ferrari, givenName, Enzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enzo
Context triple: [Enzo Ferrari, 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. 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.
  • C. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • D. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • E. Fabio
    Fabio is the birth name of Pope Alexander VII, the 17th-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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296e12d48190bd120879723bb6e8 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e59c2d0819091101dea300e1d7e completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.