Triple

T10950597
Position Surface form Disambiguated ID Type / Status
Subject Elphi E258715 entity
Predicate architect P184 FINISHED
Object Pierre de Meuron E290912 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: Pierre de Meuron | Statement: [Elphi, architect, Pierre de Meuron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre de Meuron
Context triple: [Elphi, architect, Pierre de Meuron]
  • A. Pierre de Meuron chosen
    Pierre de Meuron is a Swiss architect and co-founder of the renowned architecture firm Herzog & de Meuron, known for designing prominent cultural and public buildings worldwide.
  • B. Jean Bourgoin
    Jean Bourgoin was a French cinematographer best known for his work on major mid-20th-century films, including the World War II epic "The Longest Day."
  • C. Swiss architect Marc-Joseph Saugey
    Marc-Joseph Saugey was a prominent 20th-century Swiss architect known for his modernist contributions to the urban landscape of Geneva.
  • D. Claude-Nicolas Veil
    Claude-Nicolas Veil is one of the children of Simone Veil, the renowned French politician and Holocaust survivor.
  • E. Camille Alphonse Trézel
    Camille Alphonse Trézel was a 19th-century French general and colonial officer known for his role in France’s early military campaigns during the conquest of Algeria.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ed2f1c819081ec58457f57889d completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c57038c819087671177c2ed5633 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.