Triple

T21964606
Position Surface form Disambiguated ID Type / Status
Subject Maria Ward Kirkpatrick Custer E542424 entity
Predicate givenName P17 FINISHED
Object Kirkpatrick 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: Kirkpatrick | Statement: [Maria Ward Kirkpatrick Custer, givenName, Kirkpatrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkpatrick
Context triple: [Maria Ward Kirkpatrick Custer, givenName, Kirkpatrick]
  • A. Kirkpatrick chosen
    Kirkpatrick is a Scottish-origin surname borne by various notable individuals across politics, academia, and the arts.
  • B. Kirkpatrick-Fleming
    Kirkpatrick-Fleming is a village in Dumfries and Galloway, Scotland, historically associated with the Kirkpatrick family.
  • C. Kolb
    Kolb is a surname most notably associated with American actor and comedian Clarence Kolb, known for his roles in early 20th-century film and vaudeville.
  • D. Kagan
    Kagan is a surname most prominently associated with Elena Kagan, an Associate Justice of the United States Supreme Court.
  • E. McClelland
    McClelland is a Scottish-origin surname borne by various notable individuals across fields such as music, politics, and academia.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12459e1848190aa8d4ccc97f434b8 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.