Triple

T8009303
Position Surface form Disambiguated ID Type / Status
Subject Brooke Lierman E186442 entity
Predicate workLocation P7 FINISHED
Object Annapolis, Maryland E22341 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: Annapolis, Maryland | Statement: [Brooke Lierman, workLocation, Annapolis, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annapolis, Maryland
Context triple: [Brooke Lierman, workLocation, Annapolis, Maryland]
  • A. Annapolis chosen
    Annapolis is a historic U.S. city on the Chesapeake Bay known for its colonial architecture, maritime heritage, and as the home of the United States Naval Academy.
  • B. Georgetown, Maryland
    Georgetown, Maryland is a small census-designated community located in Kent County on Maryland’s Eastern Shore.
  • C. Salisbury, Maryland
    Salisbury, Maryland is a small city on Maryland’s Eastern Shore known as a regional commercial hub and the home of Salisbury University.
  • D. Clinton, Maryland
    Clinton, Maryland is a suburban community in Prince George’s County known for its residential neighborhoods and proximity to Washington, D.C.
  • E. Jefferson, Maryland
    Jefferson, Maryland is a small unincorporated community and historic rural town in Frederick County, known for its scenic setting in western Maryland and its 18th- and 19th-century architecture.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6f76408190a1312369521a187a completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c1f76881909ad6d7777090f2e2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:19 p.m.