Triple

T214665
Position Surface form Disambiguated ID Type / Status
Subject Populous E4792 entity
Predicate separatedFrom P243 FINISHED
Object HOK Group
HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
 E27535 NE FINISHED

How this triple was built (4 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: HOK Group | Statement: [Populous, separatedFrom, HOK Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HOK Group
Context triple: [Populous, separatedFrom, HOK Group]
  • A. Skidmore, Owings & Merrill
    Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
  • B. Arup Associates
    Arup Associates is a multidisciplinary architectural and engineering firm known for designing innovative, high-performance buildings and cultural venues.
  • C. HKS, Inc.
    HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
  • D. Gwathmey Siegel & Associates Architects
    Gwathmey Siegel & Associates Architects was a prominent New York–based modernist architecture firm known for its museum, cultural, and institutional projects.
  • E. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HOK Group
Triple: [Populous, separatedFrom, HOK Group]
Generated description
HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HOK Group
Target entity description: HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
  • A. Skidmore, Owings & Merrill
    Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
  • B. Arup Associates
    Arup Associates is a multidisciplinary architectural and engineering firm known for designing innovative, high-performance buildings and cultural venues.
  • C. HKS, Inc.
    HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
  • D. Gwathmey Siegel & Associates Architects
    Gwathmey Siegel & Associates Architects was a prominent New York–based modernist architecture firm known for its museum, cultural, and institutional projects.
  • E. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • F. None of above. chosen

Provenance (5 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4ca0c8819093f63c6371e2d140 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3f66888190a05ddcb0af4d3c5f completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33ee88af08190bfe81fba01856829 completed Feb. 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69a34295afa88190aae0d75a337967e3 completed Feb. 28, 2026, 7:31 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.