Triple

T951504
Position Surface form Disambiguated ID Type / Status
Subject Princess Eléonore of Belgium E20532 entity
Predicate givenName P17 FINISHED
Object Eléonore E5505 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: Eléonore | Statement: [Princess Eléonore of Belgium, givenName, Eléonore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eléonore
Context triple: [Princess Eléonore of Belgium, givenName, Eléonore]
  • A. Eleonore d’Esmier d’Olbreuse
    Eleonore d’Esmier d’Olbreuse was a French Huguenot noblewoman who became Duchess of Brunswick-Lüneburg and is remembered as the mother of Sophia Dorothea of Celle, the repudiated wife of King George I of Great Britain.
  • B. Christine of France
    Christine of France was a 17th-century French princess, daughter of King Henry IV and Marie de' Medici, who became Duchess of Savoy through marriage and played a significant political role in Italian affairs.
  • C. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • D. Eleanor chosen
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • E. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b9f75e48190a0e291a1ac865b91 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:40 p.m.