Triple

T21994321
Position Surface form Disambiguated ID Type / Status
Subject The Great Gilly Hopkins E543164 entity
Predicate producer P490 FINISHED
Object Brian Kennedy NE NERFINISHED

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: Brian Kennedy | Statement: [The Great Gilly Hopkins, producer, Brian Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Kennedy
Context triple: [The Great Gilly Hopkins, producer, Brian Kennedy]
  • A. Brian Kennedy chosen
    Brian Kennedy is a music producer best known for his work on various R&B and pop projects, including albums like "Human."
  • B. Brian Kennedy
    Brian Kennedy is an art museum director and curator known for leading major institutions such as the Peabody Essex Museum.
  • C. Mick Kennedy
    Mick Kennedy is a central character in the Australian film "Sweet Country," depicted as a complex figure entangled in the racial and moral tensions of the 1920s Northern Territory frontier.
  • D. Brian Kelley
    Brian Kelley is an American television writer and producer known for his work on popular animated and live-action comedy series, including "The Simpsons."
  • E. Brian Kelley
    Brian Kelley is an American country music singer and songwriter best known as one half of the duo Florida Georgia Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.