Triple

T952178
Position Surface form Disambiguated ID Type / Status
Subject Academy Museum of Motion Pictures E20545 entity
Predicate architect P184 FINISHED
Object Renzo Piano E4301 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: Renzo Piano | Statement: [Academy Museum of Motion Pictures, architect, Renzo Piano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renzo Piano
Context triple: [Academy Museum of Motion Pictures, architect, Renzo Piano]
  • A. Renzo Piano chosen
    Renzo Piano is an acclaimed Italian architect known for his innovative, light-filled museum designs and landmark projects such as the Centre Pompidou in Paris and The Shard in London.
  • B. Pierre Savoye
    Pierre Savoye was a French industrialist best known as the client for Le Corbusier’s iconic modernist Villa Savoye.
  • C. Peter Zumthor
    Peter Zumthor is a renowned Swiss architect celebrated for his minimalist, sensory-rich designs and recipient of the Pritzker Architecture Prize.
  • D. 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.
  • E. César Pelli
    César Pelli was an Argentine-American architect renowned for designing some of the world’s tallest and most iconic skyscrapers, including the Petronas Towers in Kuala Lumpur.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f64ead48190be6f40e62b17bc12 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:40 p.m.