Triple

T21241078
Position Surface form Disambiguated ID Type / Status
Subject Great Glasshouse E523472 entity
Predicate architect P184 FINISHED
Object Norman Foster 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: Norman Foster | Statement: [Great Glasshouse, architect, Norman Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Foster
Context triple: [Great Glasshouse, architect, Norman Foster]
  • A. Norman Foster chosen
    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.
  • B. Norman Foster
    Norman Foster was an American film and television director and actor active in Hollywood from the 1920s through the 1950s.
  • C. Richard Rogers
    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.
  • D. Richard Rogers
    Richard Rogers is the son of Mary Kay Ash, the founder of Mary Kay Cosmetics, and has been involved in the leadership of the company.
  • E. David Chipperfield
    David Chipperfield is a renowned British architect celebrated for his minimalist, modernist designs and influential cultural and civic projects worldwide.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735239f48819091ffe518b1aed2e8 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:47 p.m.