Triple

T16684787
Position Surface form Disambiguated ID Type / Status
Subject Les Machines de l’Île E405432 entity
Predicate designer P184 FINISHED
Object Pierre Orefice 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: Pierre Orefice | Statement: [Les Machines de l’Île, designer, Pierre Orefice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Orefice
Context triple: [Les Machines de l’Île, designer, Pierre Orefice]
  • A. Pierre Orefice chosen
    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.
  • B. Jacques Poirrier
    Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
  • C. Pierre LeBrun
    Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
  • D. Pierre Vago
    Pierre Vago was a prominent 20th-century French architect and urban planner known for his modernist designs and influential role in international architectural organizations.
  • E. Gerald Baillergeau
    Gerald Baillergeau is an American R&B and hip-hop record producer known for his work with artists such as Tyrese.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
Created at: April 10, 2026, 5:19 a.m.