Triple

T12786807
Position Surface form Disambiguated ID Type / Status
Subject Fort Worth Water Gardens E305650 entity
Predicate coDesigner P7870 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: [Fort Worth Water Gardens, coDesigner, John Burgee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Burgee
Context triple: [Fort Worth Water Gardens, coDesigner, 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:29 p.m.