Triple

T4323242
Position Surface form Disambiguated ID Type / Status
Subject Nashville sound E96568 entity
Predicate associatedWith P37 FINISHED
Object Bob Ferguson E218573 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: Bob Ferguson | Statement: [Nashville sound, associatedWith, Bob Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Ferguson
Context triple: [Nashville sound, associatedWith, Bob Ferguson]
  • A. Bob Ferguson chosen
    Bob Ferguson was an American country music record producer known for his influential work with major artists in the 1960s and 1970s.
  • B. Ed Murray
    Ed Murray is an American politician who served as the 53rd mayor of Seattle and previously spent many years in the Washington State Legislature.
  • C. Mark Helfrich
    Mark Helfrich is an American football coach best known for leading the University of Oregon Ducks, including a run to the first College Football Playoff National Championship game in the 2014 season.
  • D. Mark Helfrich
    Mark Helfrich is an American film editor best known for his work on action and comedy films, including collaborations with director Brett Ratner.
  • E. Howard Cunningham
    Howard Cunningham is the affable, old-fashioned Milwaukee hardware store owner and father figure on the classic American sitcom "Happy Days."
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.