Triple

T8888046
Position Surface form Disambiguated ID Type / Status
Subject Kansas City City Hall E211583 entity
Predicate architect P184 FINISHED
Object Hare & Hare (site and landscape planning)
Hare & Hare was a prominent early 20th-century American landscape architecture and city planning firm known for shaping parks, boulevards, and civic spaces across numerous U.S. cities.
E764316 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: Hare & Hare (site and landscape planning)  | Statement: [Kansas City City Hall, architect, Hare & Hare (site and landscape planning) ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hare & Hare (site and landscape planning) 
Context triple: [Kansas City City Hall, architect, Hare & Hare (site and landscape planning) ]
  • A. Greensward Plan
    The Greensward Plan is the original 19th-century landscape design by Frederick Law Olmsted and Calvert Vaux that created New York City's Central Park.
  • B. North Woods landscape design
    North Woods landscape design is a carefully planned rustic woodland section of New York City's Central Park that features winding paths, naturalistic scenery, and historic stone structures.
  • C. Red Books of landscape and garden designs
    The Red Books of landscape and garden designs are Humphry Repton’s richly illustrated presentation volumes in which he proposed and visualized improvements to clients’ estates, famously using before-and-after overlays to demonstrate his landscape concepts.
  • D. Townshend Landscape Architects
    Townshend Landscape Architects is a British landscape architecture and urban design practice known for shaping major public realm and regeneration projects, including the transformation of London’s King’s Cross area.
  • E. Dunington-Grubb landscape architects
    Dunington-Grubb landscape architects was a prominent early 20th-century Canadian landscape architecture firm known for designing formal gardens and estate landscapes across Ontario.
  • 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: Hare & Hare (site and landscape planning) 
Triple: [Kansas City City Hall, architect, Hare & Hare (site and landscape planning) ]
Generated description
Hare & Hare was a prominent early 20th-century American landscape architecture and city planning firm known for shaping parks, boulevards, and civic spaces across numerous U.S. cities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hare & Hare (site and landscape planning) 
Target entity description: Hare & Hare was a prominent early 20th-century American landscape architecture and city planning firm known for shaping parks, boulevards, and civic spaces across numerous U.S. cities.
  • A. Greensward Plan
    The Greensward Plan is the original 19th-century landscape design by Frederick Law Olmsted and Calvert Vaux that created New York City's Central Park.
  • B. North Woods landscape design
    North Woods landscape design is a carefully planned rustic woodland section of New York City's Central Park that features winding paths, naturalistic scenery, and historic stone structures.
  • C. Red Books of landscape and garden designs
    The Red Books of landscape and garden designs are Humphry Repton’s richly illustrated presentation volumes in which he proposed and visualized improvements to clients’ estates, famously using before-and-after overlays to demonstrate his landscape concepts.
  • D. Townshend Landscape Architects
    Townshend Landscape Architects is a British landscape architecture and urban design practice known for shaping major public realm and regeneration projects, including the transformation of London’s King’s Cross area.
  • E. Dunington-Grubb landscape architects
    Dunington-Grubb landscape architects was a prominent early 20th-century Canadian landscape architecture firm known for designing formal gardens and estate landscapes across Ontario.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618e58d08190be3ebcbe3701b1db completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabe17c78819087e74618ac49a214 completed April 3, 2026, noon
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:53 p.m.