Triple

T17578637
Position Surface form Disambiguated ID Type / Status
Subject Kathleen High School E428138 entity
Predicate hasNotableAlumnus P51 FINISHED
Object Ron Dixon 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: Ron Dixon | Statement: [Kathleen High School, hasNotableAlumnus, Ron Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Dixon
Context triple: [Kathleen High School, hasNotableAlumnus, Ron Dixon]
  • A. Ron Dixon chosen
    Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
  • B. Don Dixon
    Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
  • C. Ken Dixon
    Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
  • D. Jon Dixon
    Jon Dixon is a central character in the drama series "A Million Little Things," whose unexpected death profoundly impacts his close-knit group of friends and drives much of the show's emotional narrative.
  • E. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.