Triple

T10288431
Position Surface form Disambiguated ID Type / Status
Subject Martha MacIsaac E241296 entity
Predicate notableWork P4 FINISHED
Object 1600 Penn E818830 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: 1600 Penn | Statement: [Martha MacIsaac, notableWork, 1600 Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1600 Penn
Context triple: [Martha MacIsaac, notableWork, 1600 Penn]
  • A. 1600 Penn chosen
    1600 Penn is an American television sitcom set in the White House that follows a dysfunctional First Family and their comedic misadventures.
  • B. Bailey Quarters
    Bailey Quarters is a shy but intelligent and ambitious radio station employee from the sitcom "WKRP in Cincinnati," known for evolving from a timid assistant into a confident broadcast journalist.
  • C. The Mint
    The Mint is a posthumously published autobiographical work by T. E. Lawrence that candidly chronicles his experiences and observations while serving as an enlisted airman in the Royal Air Force.
  • D. River Mint
    River Mint is a small river in Cumbria, England, known for flowing through the countryside near Kendal before joining the River Kent.
  • E. Penn Quarter
    Penn Quarter is a vibrant mixed-use neighborhood in central Washington, D.C., known for its museums, theaters, restaurants, and proximity to major civic and cultural landmarks.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8556f4081908390bc5c14dcf560 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.