Triple

T1853272
Position Surface form Disambiguated ID Type / Status
Subject A&M Records E41643 entity
Predicate hasFounder P104 FINISHED
Object Jerry Moss E221053 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: Jerry Moss | Statement: [A&M Records, hasFounder, Jerry Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Moss
Context triple: [A&M Records, hasFounder, Jerry Moss]
  • A. Jerry Moss chosen
    Jerry Moss was an American record executive and co-founder of the influential label A&M Records, known for signing and developing numerous major artists across rock, pop, and jazz.
  • B. R.C. Slocum
    R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
  • C. Jerry Hubbard
    Jerry Hubbard is a bumbling, good-natured sidekick and co-host on the satirical talk show parody "Fernwood 2 Night."
  • D. Byron Mann
    Byron Mann is a Hong Kong–American actor known for his roles in film and television, including prominent parts in action movies and series such as "Altered Carbon" and "Arrow."
  • E. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06b3f08819092b3fbdff83b3097 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abb346081908df2c8390e4938d5 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:33 p.m.