Triple

T9028689
Position Surface form Disambiguated ID Type / Status
Subject Juan Dixon E216111 entity
Predicate name P16 FINISHED
Object Juan Dixon E216105 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: Juan Dixon | Statement: [Juan Dixon, name, Juan Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Dixon
Context triple: [Juan Dixon, name, Juan Dixon]
  • A. Juan Dixon chosen
    Juan Dixon is a former American college basketball star and NBA guard best known for leading the University of Maryland to the 2002 NCAA championship and later serving as a college coach.
  • B. Earl Hindman
    Earl Hindman was an American actor best known for playing the mostly unseen neighbor Wilson on the television sitcom "Home Improvement."
  • C. Forest Baskett
    Forest Baskett is an American computer scientist and venture capitalist known for his influential work in computer architecture and his role as a general partner at New Enterprise Associates (NEA).
  • D. Dwight Equan Grant
    Dwight Equan Grant, better known by his stage name Beanie Sigel, is an American rapper and actor associated with Roc-A-Fella Records and the Philadelphia hip-hop scene.
  • E. Gus Williams
    Gus Williams is a former American professional basketball guard best known for starring with the Seattle SuperSonics in the late 1970s and early 1980s.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:08 p.m.