Triple

T12474112
Position Surface form Disambiguated ID Type / Status
Subject Stoke Park E298131 entity
Predicate hasLandscapeDesigner P184 FINISHED
Object Capability Brown E57951 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: Capability Brown | Statement: [Stoke Park, hasLandscapeDesigner, Capability Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capability Brown
Context triple: [Stoke Park, hasLandscapeDesigner, Capability Brown]
  • A. Capability Brown chosen
    Capability Brown was an 18th-century English landscape architect renowned for transforming grand country estates into naturalistic, sweeping parklands that defined the English landscape garden style.
  • B. Russ Brown
    Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
  • C. Tony Brown
    Tony Brown is an American country music producer and record executive known for shaping the careers of numerous major Nashville artists.
  • D. Mark Brown
    Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
  • E. Mark Brown
    Mark Brown is a musician best known as a member of Prince’s backing band, The Revolution.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcb194c81908b5e0320ddfd463c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2373308190b41aafa635c8de5e completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.