Triple

T21892811
Position Surface form Disambiguated ID Type / Status
Subject Joseph Evans Brown E540595 entity
Predicate child P120 FINISHED
Object Don E. Brown NE NERFINISHED

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: Don E. Brown | Statement: [Joseph Evans Brown, child, Don E. Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don E. Brown
Context triple: [Joseph Evans Brown, child, Don E. Brown]
  • A. Don E. Brown chosen
    Don E. Brown is known primarily as the son of famed American comic actor and entertainer Joe E. Brown.
  • B. Donald E. Brown
    Donald E. Brown is an American entrepreneur and software executive best known as the founder and longtime CEO of Interactive Intelligence, a company specializing in business communications and contact center solutions.
  • C. Dennis C. Brown
    Dennis C. Brown is a television and film composer best known for scoring the long-running animated series "South Park."
  • D. Calvin J. Watts
    Calvin J. Watts is an American educator and school administrator who has served as the superintendent of Gwinnett County Public Schools, one of the largest school districts in Georgia.
  • E. J. Douglas Brown
    J. Douglas Brown was an American economist and academic who played a key role in shaping U.S. Social Security policy during the New Deal era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc46dd481908a119cfbe26564a3 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.