Triple

T6579876
Position Surface form Disambiguated ID Type / Status
Subject Macdonough E157263 entity
Predicate hasVariant P455 FINISHED
Object McDonough E104264 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: McDonough | Statement: [Macdonough, hasVariant, McDonough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McDonough
Context triple: [Macdonough, hasVariant, McDonough]
  • A. McDonough chosen
    McDonough is a surname most prominently associated with Denis McDonough, the American political figure who served as White House Chief of Staff under President Barack Obama.
  • B. McDonough, Georgia
    McDonough, Georgia is a suburban city in Henry County serving as a commercial and residential hub on the southeastern outskirts of the Atlanta metropolitan area.
  • C. Dillon
    Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
  • D. Dillon
    Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
  • E. Dillon
    Dillon is the middle name of famed American baseball player and manager Casey Stengel.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8ef4d08190b4c88aa0c15fe91c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.