Triple

T1245667
Position Surface form Disambiguated ID Type / Status
Subject Princess Margriet of the Netherlands E26759 entity
Predicate givenName P17 FINISHED
Object Margriet E158866 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: Margriet | Statement: [Princess Margriet of the Netherlands, givenName, Margriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margriet
Context triple: [Princess Margriet of the Netherlands, givenName, Margriet]
  • A. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • B. Margriet Francisca chosen
    Margriet Francisca is a Dutch princess, the third daughter of former Queen Juliana and Prince Bernhard of the Netherlands, known for her public service and charitable work.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf65c41c8190b4c65e015d1264c0 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231d1bdc8190bceaafcf86544bf1 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:47 p.m.