Triple

T4563710
Position Surface form Disambiguated ID Type / Status
Subject Natalie de Blois E121857 entity
Predicate employer P7 FINISHED
Object Perkins and Will E134981 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: Perkins and Will | Statement: [Natalie de Blois, employer, Perkins and Will]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perkins and Will
Context triple: [Natalie de Blois, employer, Perkins and Will]
  • A. Perkins Eastman
    Perkins Eastman is a global architecture and design firm known for large-scale urban, mixed-use, and institutional projects.
  • B. Skidmore, Owings & Merrill
    Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
  • C. The Perkins and Will partnership chosen
    The Perkins and Will partnership is a prominent American architecture and design firm known for its innovative, large-scale commercial and institutional projects.
  • D. Kohn Pedersen Fox
    Kohn Pedersen Fox is a prominent American architecture firm known for designing major skyscrapers and large-scale urban projects worldwide.
  • E. Thornton Tomasetti
    Thornton Tomasetti is a global engineering firm renowned for its innovative structural design and consulting work on landmark skyscrapers and complex buildings worldwide.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd5830b4308190a63699bf28922375 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3aa3b9081908984777207f4040e completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.