Triple

T15958718
Position Surface form Disambiguated ID Type / Status
Subject Neal McDonough E387002 entity
Predicate familyName P18 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: [Neal McDonough, familyName, McDonough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McDonough
Context triple: [Neal McDonough, familyName, 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. McDonogh
    McDonogh is a subarea within the Algiers neighborhood of New Orleans, Louisiana, known primarily as a local residential community.
  • C. 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.
  • D. Burkley
    Burkley is a surname most notably associated with American character actor Dennis Burkley.
  • E. 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.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe806ef4819095a4dfe104d0bdc8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.