Triple

T5371302
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand "Bongbong" Marcos Jr. E108855 entity
Predicate familyName P18 FINISHED
Object Marcos E352679 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: Marcos | Statement: [Ferdinand "Bongbong" Marcos Jr., familyName, Marcos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcos
Context triple: [Ferdinand "Bongbong" Marcos Jr., 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. Teodoro
    Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
  • C. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • D. José Napoleón Duarte
    José Napoleón Duarte was a Salvadoran politician and reformist president in the 1980s who became a central civilian figure during El Salvador’s civil war and a leading advocate of Christian democracy in the country.
  • E. Jair
    Jair is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and his thirty sons who rode thirty donkeys and controlled thirty towns.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29347a18819083115fe68db8e708 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.