Triple

T9353114
Position Surface form Disambiguated ID Type / Status
Subject Pont Saint-Michel E225065 entity
Predicate architect P184 FINISHED
Object Paul Vaudrey E761318 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: Paul Vaudrey | Statement: [Pont Saint-Michel, architect, Paul Vaudrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Vaudrey
Context triple: [Pont Saint-Michel, architect, Paul Vaudrey]
  • A. Paul Vaudrey chosen
    Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
  • B. Paul Meurice
    Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
  • C. Ian La Frenais
    Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
  • D. Michael Goudeau
    Michael Goudeau is an American juggler, comedian, and writer best known for his long-running collaboration with magician Penn Jillette on stage shows and media projects.
  • E. Pierre Orefice
    Pierre Orefice is a French designer and cultural project director best known for co-creating the fantastical mechanical art attraction Les Machines de l’Île in Nantes.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9515008190b01fbb43d673de2a completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3d248a88190b7d17af66e2903c5 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:41 p.m.