Triple

T11877203
Position Surface form Disambiguated ID Type / Status
Subject Greg Burson E282558 entity
Predicate name P16 FINISHED
Object Greg Burson E282558 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: Greg Burson | Statement: [Greg Burson, name, Greg Burson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Burson
Context triple: [Greg Burson, name, Greg Burson]
  • A. Greg Burson chosen
    Greg Burson was an American voice actor known for succeeding Mel Blanc in voicing several classic Looney Tunes characters and other animated roles in the late 20th century.
  • B. Georg Benedikt von Ogilvy
    Georg Benedikt von Ogilvy was an early 18th-century military commander, best known for his role in the Great Northern War.
  • C. Ralph Bass
    Ralph Bass was an influential American rhythm and blues and early rock and roll record producer and talent scout who helped launch the careers of numerous major artists in the mid-20th century.
  • D. Doyle Dane Bernbach
    Doyle Dane Bernbach was a pioneering American advertising agency renowned for its creative, witty campaigns that transformed modern advertising in the mid-20th century.
  • E. David Ogilvy
    David Ogilvy was a pioneering British advertising executive and author, often called the "Father of Advertising" for his influential campaigns and enduring impact on modern marketing.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1b6a5c81909a18c54205dda09c completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281d8c65081908ebaf4bff5670c47 completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.