Triple

T16042089
Position Surface form Disambiguated ID Type / Status
Subject British high-tech architecture E389121 entity
Predicate hasNotableProponent P304 FINISHED
Object Richard Rogers E33248 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: Richard Rogers | Statement: [British high-tech architecture, hasNotableProponent, Richard Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Rogers
Context triple: [British high-tech architecture, hasNotableProponent, Richard Rogers]
  • A. Richard Rogers chosen
    Richard Rogers was a renowned British architect celebrated for his high-tech, modernist designs, including the Centre Pompidou in Paris and the Lloyd’s building in London.
  • B. Norman Foster
    Norman Foster is a renowned British architect known for his high-tech, innovative designs such as London's Gherkin and the Reichstag dome in Berlin.
  • C. Norman Foster
    Norman Foster was an American film and television director and actor active in Hollywood from the 1920s through the 1950s.
  • D. James Stirling
    James Stirling was a 19th-century British naval officer and colonial administrator who became the first Governor of Western Australia.
  • E. James Stirling
    James Stirling was an 18th-century Scottish mathematician best known for his work in analysis and for the approximation formula for factorials that bears his name.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1834130208190a4ed1e4292b8f2df completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe476d4488190abade3d6b4011435 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.