Triple

T2114708
Position Surface form Disambiguated ID Type / Status
Subject Guglielmo E42580 entity
Predicate hasCognate P2525 FINISHED
Object Guilherme E76095 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: Guilherme | Statement: [Guglielmo, hasCognate, Guilherme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilherme
Context triple: [Guglielmo, hasCognate, Guilherme]
  • A. Guilherme chosen
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • B. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • C. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • D. Guilherme Leal
    Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
  • E. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.