Triple

T6202250
Position Surface form Disambiguated ID Type / Status
Subject Kyle Budwell E138661 entity
Predicate takesHostage P48966 FINISHED
Object Lee Gates E154560 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: Lee Gates | Statement: [Kyle Budwell, takesHostage, Lee Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Gates
Context triple: [Kyle Budwell, takesHostage, Lee Gates]
  • A. Lee Gates chosen
    Lee Gates is the brash, fast-talking financial TV host portrayed by George Clooney in the thriller film "Money Monster."
  • B. Gerry Davis
    Gerry Davis is a longtime Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
  • C. Gerry Davis
    Gerry Davis was a British television writer and script editor best known for his work on Doctor Who, including co-creating the iconic Cybermen.
  • D. Roger Gale
    Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
  • E. Artie Seale
    Artie Seale is known as the wife of Bobby Seale, co-founder of the Black Panther Party.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f3bad2c8190b0ad0f2def3af9f7 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.