Triple

T23185583
Position Surface form Disambiguated ID Type / Status
Subject The Swan E579584 entity
Predicate architect P184 FINISHED
Object Ben van Berkel 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: Ben van Berkel | Statement: [The Swan, architect, Ben van Berkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben van Berkel
Context triple: [The Swan, architect, Ben van Berkel]
  • A. Ben van Berkel chosen
    Ben van Berkel is a Dutch architect and co-founder of the architecture firm UNStudio, known for innovative, fluid, and technologically advanced building designs worldwide.
  • B. Erik van Egeraat
    Erik van Egeraat is a Dutch architect known for his expressive, contemporary designs and influential contributions to European architecture.
  • C. Jan-Willem Maessen
    Jan-Willem Maessen is a computer scientist and software engineer known for his work on programming language design and implementation, including contributions to the Fortress programming language.
  • D. Maarten van der Weijden
    Maarten van der Weijden is a Dutch long-distance and open-water swimmer, Olympic gold medalist, and leukemia survivor known for his charity marathon swims.
  • E. Jan Verkolje
    Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f7230208190820acf52f537b3ff completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.