Triple

T1558130
Position Surface form Disambiguated ID Type / Status
Subject Thanks-Giving Square E33255 entity
Predicate architect P184 FINISHED
Object John Burgee E198462 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: John Burgee | Statement: [Thanks-Giving Square, architect, John Burgee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Burgee
Context triple: [Thanks-Giving Square, architect, John Burgee]
  • A. John Burgee chosen
    John Burgee is an American architect known for his influential postmodern skyscraper designs, often created in partnership with Philip Johnson.
  • B. Kevin Roche
    Kevin Roche was an acclaimed Irish-American architect known for his innovative modernist designs and influential large-scale public and corporate buildings.
  • C. Laurie Olin
    Laurie Olin is a prominent American landscape architect and urban designer known for shaping major public spaces in cities across the United States.
  • D. Charles Gwathmey
    Charles Gwathmey was a prominent American modernist architect known for his influential residential designs and as a key member of the New York Five.
  • E. William Pereira
    William Pereira was a prominent 20th-century American architect and urban planner known for his futuristic, modernist designs across major cultural, educational, and commercial 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc98b2b0081909d10b22d59c5e653 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:27 p.m.