Triple

T9682236
Position Surface form Disambiguated ID Type / Status
Subject Maria Christina of the Netherlands E234309 entity
Predicate child P120 FINISHED
Object Nicolas Guillermo E648181 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: Nicolas Guillermo | Statement: [Maria Christina of the Netherlands, child, Nicolas Guillermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas Guillermo
Context triple: [Maria Christina of the Netherlands, child, Nicolas Guillermo]
  • A. Nicolas Guillermo chosen
    Nicolas Guillermo is a member of the Dutch royal family, known as the son of Prince Friso of Orange-Nassau and Princess Mabel.
  • B. Jorge Guillermo
    Jorge Guillermo is a Cuban-born American educator and former husband of Princess Christina of the Netherlands.
  • C. Julio Alejandro
    Julio Alejandro was a Spanish-Mexican screenwriter best known for his collaborations with director Luis Buñuel on several landmark films of mid-20th-century cinema.
  • D. Julián Felipe
    Julián Felipe was a Filipino composer best known for writing the music of the Philippine national anthem.
  • E. Nicolás
    Nicolás is a masculine given name of Greek origin, commonly used in Spanish-speaking countries and derived from the name Nicholas, meaning "victory of the people."
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f736b988190b963e216a805316d completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:16 p.m.