Triple

T20075549
Position Surface form Disambiguated ID Type / Status
Subject San Jose City Hall E499852 entity
Predicate architect P184 FINISHED
Object Richard Meier 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: Richard Meier | Statement: [San Jose City Hall, architect, Richard Meier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Meier
Context triple: [San Jose City Hall, architect, Richard Meier]
  • A. Richard Meier chosen
    Richard Meier is an American architect renowned for his modernist, white geometric designs and major cultural projects such as the Getty Center in Los Angeles.
  • B. Thom Mayne
    Thom Mayne is an American architect and founder of the firm Morphosis, known for his bold, unconventional designs and influential role in contemporary architecture.
  • C. Steven Holl
    Steven Holl is an American architect renowned for his innovative, light-focused designs and influential contemporary buildings around the world.
  • D. Kevin Roche
    Kevin Roche was an acclaimed Irish-American architect known for his innovative modernist designs and influential large-scale public and corporate buildings.
  • E. Helmut Jahn
    Helmut Jahn was a prominent German-American architect known for his high-tech, postmodern designs and influential skyscrapers around the world.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643ab0448190ab18d013b72aaf32 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.