Triple

T8978151
Position Surface form Disambiguated ID Type / Status
Subject Paul Brown Stadium E214449 entity
Predicate architect P184 FINISHED
Object NBBJ E91909 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: NBBJ | Statement: [Paul Brown Stadium, architect, NBBJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBBJ
Context triple: [Paul Brown Stadium, architect, NBBJ]
  • A. NBBJ chosen
    NBBJ is a global architecture and design firm known for creating high-profile sports arenas, corporate campuses, and healthcare facilities.
  • B. Chermayeff & Geismar
    Chermayeff & Geismar is a renowned American graphic design firm best known for creating iconic corporate logos and visual identities for major global brands.
  • C. HOK Group
    HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
  • D. Bohlin Cywinski Jackson
    Bohlin Cywinski Jackson is an American architecture firm renowned for its innovative, minimalist designs for high-profile clients, including numerous iconic Apple retail stores.
  • E. Chermayeff, Sollogub & Poole
    Chermayeff, Sollogub & Poole is an architectural and design firm co-founded by Peter Chermayeff, known for its work on large-scale public and cultural projects.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.