Triple

T22189046
Position Surface form Disambiguated ID Type / Status
Subject Dorothy and Lillian Gish Prize E548369 entity
Predicate hasRecipient P108 FINISHED
Object Frank Gehry 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: Frank Gehry | Statement: [Dorothy and Lillian Gish Prize, hasRecipient, Frank Gehry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Gehry
Context triple: [Dorothy and Lillian Gish Prize, hasRecipient, 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. Román Viñoly
    Román Viñoly is a member of the Viñoly family, known primarily as the son of acclaimed Uruguayan architect Rafael Viñoly.
  • E. Jean Nouvel
    Jean Nouvel is a renowned French architect celebrated for his innovative, context-sensitive designs on landmark projects 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aab3d2c81908a3b5a5c127c4aac completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.