Triple

T16838762
Position Surface form Disambiguated ID Type / Status
Subject 41 Cooper Square E409350 entity
Predicate architect P184 FINISHED
Object Thom Mayne E166956 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: Thom Mayne | Statement: [41 Cooper Square, architect, Thom Mayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thom Mayne
Context triple: [41 Cooper Square, architect, Thom Mayne]
  • A. Thom Mayne chosen
    Thom Mayne is an American architect and founder of the firm Morphosis, known for his bold, unconventional designs and influential role in contemporary architecture.
  • B. Steven Holl
    Steven Holl is an American architect renowned for his innovative, light-focused designs and influential contemporary buildings around the world.
  • C. Richard Meier
    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.
  • D. Laurie Olin
    Laurie Olin is a prominent American landscape architect and urban designer known for shaping major public spaces in cities across the United States.
  • E. Craig Dykers
    Craig Dykers is a Norwegian-American architect best known as a co-founder of the international architecture and design firm Snøhetta, recognized for projects like the Oslo Opera House and the National September 11 Memorial Museum Pavilion.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34ed7d48190a5f8d9f03a332a22 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb177e288190b525e6d239892d26 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.