Triple

T14902572
Position Surface form Disambiguated ID Type / Status
Subject Hendrika E360042 entity
Predicate hasCognate P2525 FINISHED
Object Henriqué E428331 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: Henriqué | Statement: [Hendrika, hasCognate, Henriqué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henriqué
Context triple: [Hendrika, hasCognate, Henriqué]
  • A. Henrique chosen
    Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
  • B. Luís
    Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
  • C. Felipe de Barbacena
    Felipe de Barbacena was a Brazilian military leader and nobleman who played a prominent command role in Brazil’s early 19th-century conflicts, including the Cisplatine War.
  • D. José, Prince of Brazil
    José, Prince of Brazil was the eldest son and heir apparent of Queen Maria I of Portugal who died young, preventing him from ascending the throne.
  • E. John, Prince of Brazil
    John, Prince of Brazil was the heir apparent to the Portuguese throne who later became King John VI of Portugal, Brazil, and the Algarves.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.