Triple

T18111753
Position Surface form Disambiguated ID Type / Status
Subject Aimee Marcos E433493 entity
Predicate familyName P18 FINISHED
Object Marcos NE NERFINISHED

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: Marcos | Statement: [Aimee Marcos, familyName, Marcos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcos
Context triple: [Aimee Marcos, familyName, Marcos]
  • A. Marcos chosen
    Marcos is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that derives from the Latin name Marcus.
  • B. Marcos
    Marcos is a municipality in the province of Ilocos Norte in the Philippines, known for its agricultural economy and rural communities.
  • C. Teodoro
    Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
  • D. Juan Vicente
    Juan Vicente is a Venezuelan military leader and politician of the early 19th century, best known as the father of independence hero Simón Bolívar.
  • E. Augusto Vargas Alzamora
    Augusto Vargas Alzamora was a Peruvian Cardinal of the Roman Catholic Church who served as Archbishop of Lima and was known for his outspoken defense of human rights and democracy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3422c81908396a21bd53f3e47 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.