Triple

T22840874
Position Surface form Disambiguated ID Type / Status
Subject Wanderlust E566073 entity
Predicate executiveProducer P7225 FINISHED
Object Lucy Richer NE NERFINISHED

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: Lucy Richer | Statement: [Wanderlust, executiveProducer, Lucy Richer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy Richer
Context triple: [Wanderlust, executiveProducer, Lucy Richer]
  • A. Lucy Richer chosen
    Lucy Richer is a British television producer and BBC drama executive known for overseeing high-profile series such as "Years and Years."
  • B. Mary Tirony
    Mary Tirony is best known as the wife of American film and television actor Scott Brady.
  • C. Madeleine de Blanchefort
    Madeleine de Blanchefort was a French noblewoman of the 17th century best known as the mother of François de Neufville, Duke of Villeroi, a prominent marshal of France under Louis XIV.
  • D. Mary Guibert
    Mary Guibert is the mother and estate manager of late singer-songwriter Jeff Buckley, known for overseeing and preserving his musical legacy.
  • E. Lucie de Mirecourt
    Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.