Triple

T21095676
Position Surface form Disambiguated ID Type / Status
Subject Mindy McConnell E519759 entity
Predicate familyName P18 FINISHED
Object McConnell 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: McConnell | Statement: [Mindy McConnell, familyName, McConnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McConnell
Context triple: [Mindy McConnell, familyName, McConnell]
  • A. Mitch McConnell chosen
    Mitch McConnell is a long-serving Republican U.S. senator from Kentucky who has been one of the most powerful and influential legislative leaders in modern American politics.
  • B. McConnel
    McConnel is an electoral district of the Queensland Legislative Assembly that covers inner-city areas of Brisbane, including Kelvin Grove.
  • C. McDonnell
    McDonnell is a surname of Irish origin borne by various notable individuals across fields such as acting, politics, and aviation.
  • D. Baucus
    Baucus is a surname most prominently associated with Max Baucus, a longtime U.S. senator from Montana and former ambassador to China.
  • E. Kassebaum
    Kassebaum is the surname most prominently associated with Nancy Kassebaum, a former United States senator from Kansas known for her moderate Republican views and bipartisan work.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.