Triple

T8215921
Position Surface form Disambiguated ID Type / Status
Subject União de Leiria E191930 entity
Predicate hasNotableFormerPlayer P15460 FINISHED
Object Maciel
Maciel is a former professional footballer best known for his career in Portuguese football, including a notable spell with União de Leiria.
 E718970 NE FINISHED

How this triple was built (4 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: Maciel | Statement: [União de Leiria, hasNotableFormerPlayer, Maciel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maciel
Context triple: [União de Leiria, hasNotableFormerPlayer, Maciel]
  • A. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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. Affonso
    Affonso is a masculine given name of Portuguese origin commonly used in Brazil and other Lusophone countries.
  • D. Damião
    Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
  • E. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maciel
Triple: [União de Leiria, hasNotableFormerPlayer, Maciel]
Generated description
Maciel is a former professional footballer best known for his career in Portuguese football, including a notable spell with União de Leiria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maciel
Target entity description: Maciel is a former professional footballer best known for his career in Portuguese football, including a notable spell with União de Leiria.
  • A. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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. Affonso
    Affonso is a masculine given name of Portuguese origin commonly used in Brazil and other Lusophone countries.
  • D. Damião
    Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
  • E. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedf320c08190ada5ae5c47d059eb completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05d668ac819098195ba5ec26ec76 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:44 p.m.