Triple

T1807056
Position Surface form Disambiguated ID Type / Status
Subject Claudio (Portuguese) E40244 entity
Predicate equivalentNameInEnglish P3437 FINISHED
Object Claudio E6390 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: Claudio | Statement: [Claudio (Portuguese), equivalentNameInEnglish, Claudio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claudio
Context triple: [Claudio (Portuguese), equivalentNameInEnglish, Claudio]
  • A. Claudio chosen
    Claudio is a masculine given name of Italian and Spanish origin, commonly used as a variant of the name Claude.
  • B. Giulio
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • C. Giuliano
    Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
  • D. Gaius
    Gaius was a prominent 2nd-century Roman jurist whose legal writings, especially his Institutes, significantly shaped later Roman and European legal traditions.
  • E. Antony
    Antony is a suburban commune in the southern outskirts of Paris, France, known for its residential character and connection to central Paris via the RER B commuter rail line.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.