Triple

T22729765
Position Surface form Disambiguated ID Type / Status
Subject Shirley Blumberg E562100 entity
Predicate coFounderOf P104 FINISHED
Object KPMB Architects 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: KPMB Architects | Statement: [Shirley Blumberg, coFounderOf, KPMB Architects]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KPMB Architects
Context triple: [Shirley Blumberg, coFounderOf, KPMB Architects]
  • A. KPMB Architects chosen
    KPMB Architects is a prominent Canadian architecture firm known for its innovative cultural, institutional, and urban design projects.
  • B. KBM Architects
    KBM Architects is an architectural firm best known for designing major sports and entertainment venues such as Northlands Coliseum in Edmonton, Canada.
  • C. Patkau Architects
    Patkau Architects is a renowned Canadian architectural firm celebrated for its innovative, context-sensitive designs and significant contributions to contemporary architecture.
  • D. HKS Architects
    HKS Architects is a global architecture firm known for designing large-scale commercial, mixed-use, and hospitality projects.
  • E. MNK Architects
    MNK Architects is an architectural firm recognized for its role in designing major projects such as Southwest University Park.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792be7d88190b6d7d79041fcba25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.