Triple

T9320235
Position Surface form Disambiguated ID Type / Status
Subject Ron Dixon E224233 entity
Predicate name P16 FINISHED
Object Ron Dixon E224233 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: Ron Dixon | Statement: [Ron Dixon, name, Ron Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Dixon
Context triple: [Ron Dixon, name, 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. Ken Dixon
    Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
  • C. 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.
  • D. Dennis Scott
    Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
  • E. David Dixon
    David Dixon is a British actor best known for playing Ford Prefect in the BBC television adaptation of "The Hitchhiker's Guide to the Galaxy."
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358dcb4c81909e00bfb58a6dda3f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d58be8a4819088c419888a879e3e completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 7:38 p.m.