Triple

T12335569
Position Surface form Disambiguated ID Type / Status
Subject Philippa of Hainault E294075 entity
Predicate associatedDynasty P1547 FINISHED
Object Valois E305764 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: Valois | Statement: [Philippa of Hainault, associatedDynasty, Valois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valois
Context triple: [Philippa of Hainault, associatedDynasty, Valois]
  • A. Valois chosen
    Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
  • B. Capet
    Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
  • C. Dauphine of France
    The Dauphine of France was the title given to the wife of the heir apparent to the French throne, signifying her status as the kingdom’s future queen consort.
  • D. Victoria of France
    Victoria of France was a French princess, daughter of King Henry II and Catherine de' Medici, and sister of King Francis II of France.
  • E. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.