Triple

T4496686
Position Surface form Disambiguated ID Type / Status
Subject Luís E100712 entity
Predicate hasOrthographicVariant P457 FINISHED
Object Luiz E228174 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: Luiz | Statement: [Luís, hasOrthographicVariant, Luiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luiz
Context triple: [Luís, hasOrthographicVariant, Luiz]
  • A. Luiz chosen
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • B. 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.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bf3ff48190b3aae0136d7fce45 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f6cf46c8190a4cd9075324ecc7d completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1 p.m.