Triple

T12159217
Position Surface form Disambiguated ID Type / Status
Subject Jon Jerde E289659 entity
Predicate founded P104 FINISHED
Object Jerde Partnership International E47917 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: Jerde Partnership International | Statement: [Jon Jerde, founded, Jerde Partnership International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerde Partnership International
Context triple: [Jon Jerde, founded, Jerde Partnership International]
  • A. Jerde Partnership chosen
    Jerde Partnership is an international architecture and urban planning firm known for large-scale, experiential commercial and entertainment developments.
  • B. Miller Partnership
    Miller Partnership is an architectural firm known for designing sports venues such as Keepmoat Stadium in Doncaster, England.
  • C. Gruzen and Partners
    Gruzen and Partners is an architectural firm known for its professional design services and contributions to modern building projects.
  • D. Merkley + Partners
    Merkley + Partners is a New York-based advertising agency known for its creative brand campaigns and as part of the global Omnicom Group network.
  • E. Indigo Partners
    Indigo Partners is a private equity firm known for investing in and developing low-cost airlines around the world.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.