Triple

T11988342
Position Surface form Disambiguated ID Type / Status
Subject Larry Robinson E285340 entity
Predicate name P16 FINISHED
Object Larry Robinson E285340 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: Larry Robinson | Statement: [Larry Robinson, name, Larry Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Robinson
Context triple: [Larry Robinson, name, Larry Robinson]
  • A. Larry Robinson chosen
    Larry Robinson is a Hall of Fame Canadian ice hockey defenseman best known for his long, successful career with the Montreal Canadiens and multiple Stanley Cup championships.
  • B. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • C. Fred Robinson
    Fred Robinson was an American jazz trombonist active in the 1920s and 1930s, known for his work with Louis Armstrong and other leading early jazz ensembles.
  • D. Don Robinson
    Don Robinson is a former Major League Baseball right-handed pitcher known for his long career primarily with the Pittsburgh Pirates and his role as both a starter and reliever in the 1970s and 1980s.
  • E. Wayne Robinson
    Wayne Robinson was a prominent figure in Utah’s history, honored as the namesake of Wayne County.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72654dc88819095bc1ce23dfee4df completed May 3, 2026, 10:41 a.m.
Created at: April 8, 2026, 9:46 p.m.