Triple

T11416988
Position Surface form Disambiguated ID Type / Status
Subject Peter Wooldridge Townsend E270516 entity
Predicate spouse P13 FINISHED
Object Marie-Luce Jamagne E283784 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: Marie-Luce Jamagne | Statement: [Peter Wooldridge Townsend, spouse, Marie-Luce Jamagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie-Luce Jamagne
Context triple: [Peter Wooldridge Townsend, spouse, Marie-Luce Jamagne]
  • A. Marie-Luce Jamagne chosen
    Marie-Luce Jamagne is best known as the Belgian wife of British royal Peter Townsend, with whom she shared a long marriage following his highly publicized relationship with Princess Margaret.
  • B. Valérie Marneffe
    Valérie Marneffe is a cunning and manipulative Parisian courtesan in Honoré de Balzac’s novel "La Cousine Bette," known for using her beauty and charm to ruin the men who fall in love with her.
  • C. Valérie Rojan
    Valérie Rojan is known as the partner of French film director Philippe de Broca.
  • D. Marie-Luce Penchard
    Marie-Luce Penchard is a French politician from Guadeloupe who has served in national government and local leadership roles.
  • E. Valery Lameignère
    Valery Lameignère is a French writer and former husband of American actress Molly Ringwald.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08f0d9d0c8190a7b84e647c7491e9 completed April 28, 2026, 10:42 a.m.
Created at: April 8, 2026, 9:34 p.m.