Triple

T9323229
Position Surface form Disambiguated ID Type / Status
Subject Weatherhead School of Management E224320 entity
Predicate buildingArchitect P6475 FINISHED
Object Frank Gehry E6555 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: Frank Gehry | Statement: [Weatherhead School of Management, buildingArchitect, Frank Gehry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Gehry
Context triple: [Weatherhead School of Management, buildingArchitect, Frank Gehry]
  • A. Frank Gehry chosen
    Frank Gehry is a renowned Canadian-American architect celebrated for his innovative, sculptural, and deconstructivist building designs worldwide.
  • 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. 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. Jean Nouvel
    Jean Nouvel is a renowned French architect celebrated for his innovative, context-sensitive designs on landmark projects around the world.
  • E. Rafael Viñoly
    Rafael Viñoly was a Uruguayan-born architect renowned for his large-scale cultural and civic projects around the world, including prominent museums, concert halls, and landmark skyscrapers.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f466b08190884abdc56501a0d8 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.