Triple

T21754615
Position Surface form Disambiguated ID Type / Status
Subject Troy Blackburn E537003 entity
Predicate spouse P13 FINISHED
Object Katie Blackburn 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: Katie Blackburn | Statement: [Troy Blackburn, spouse, Katie Blackburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Blackburn
Context triple: [Troy Blackburn, spouse, Katie Blackburn]
  • A. Katie Blackburn chosen
    Katie Blackburn is an American football executive who serves as the executive vice president of the Cincinnati Bengals and is one of the most prominent female leaders in the NFL.
  • B. Katie Leyland
    Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
  • C. Katie Irving
    Katie Irving is known primarily as the daughter of American theater director and producer Jules Irving.
  • D. Katie Morgan
    Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
  • E. Katie Wilkinson
    Katie Wilkinson is a central character in James Patterson's novel "Suzanne's Diary for Nicholas," a young editor whose discovery of a poignant diary transforms her understanding of love and loss.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8d6d0081908e0ccfbccea58895 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.