Triple

T16476043
Position Surface form Disambiguated ID Type / Status
Subject Bubba Paris E400189 entity
Predicate name P16 FINISHED
Object Bubba Paris E400189 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: Bubba Paris | Statement: [Bubba Paris, name, Bubba Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bubba Paris
Context triple: [Bubba Paris, name, Bubba Paris]
  • A. Bubba Paris chosen
    Bubba Paris is a former American football offensive tackle best known for his NFL career with the San Francisco 49ers, with whom he won multiple Super Bowls in the 1980s.
  • B. Bubba J
    Bubba J is a fictional, beer-loving redneck puppet character created and performed by ventriloquist comedian Jeff Dunham, known for his dim-witted humor and love of NASCAR.
  • C. Bubba Bexley
    Bubba Bexley is a recurring comedic character and friend of Fred Sanford on the classic American sitcom "Sanford and Son."
  • D. Bubba
    Bubba is a colloquial given name, often used in the Southern United States as a familiar or affectionate nickname for a brother or close male friend.
  • E. Bubba Skinner
    Bubba Skinner is a fictional deputy sheriff from the television series "In the Heat of the Night," known for serving in the small Southern town of Sparta, Mississippi.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32dd4f53081908f78b88435c8c719 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5f238881909b5f2fb41da3f932 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:13 a.m.