Triple

T999966
Position Surface form Disambiguated ID Type / Status
Subject The Spy Who Loved Me E21580 entity
Predicate protagonist P268 FINISHED
Object Vivienne Michel E135542 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: Vivienne Michel | Statement: [The Spy Who Loved Me, protagonist, Vivienne Michel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivienne Michel
Context triple: [The Spy Who Loved Me, protagonist, Vivienne Michel]
  • A. Vivienne Michel chosen
    Vivienne Michel is the fictional protagonist and first-person narrator of Ian Fleming’s James Bond novel "The Spy Who Loved Me," offering a rare female perspective within the series.
  • B. Catherine Lalumière
    Catherine Lalumière is a French politician and lawyer known for her prominent role in European institutions and advocacy for European integration and human rights.
  • C. Camille Doncieux
    Camille Doncieux was the first wife and frequent model of French Impressionist painter Claude Monet, known for appearing in many of his early masterpieces.
  • D. Jane Avril
    Jane Avril is a famous poster by French artist Henri de Toulouse-Lautrec depicting the celebrated can-can dancer of the Moulin Rouge.
  • E. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e3d8b081908e536928e7d6199d completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac763582c48190bcf038162a1dea1c completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:41 p.m.