Triple

T20624380
Position Surface form Disambiguated ID Type / Status
Subject Ghosts of Download E506778 entity
Predicate producer P490 FINISHED
Object Greg Calbi 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: Greg Calbi | Statement: [Ghosts of Download, producer, Greg Calbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Calbi
Context triple: [Ghosts of Download, producer, Greg Calbi]
  • A. Greg Calbi chosen
    Greg Calbi is a renowned American mastering engineer known for his work on numerous iconic albums across rock, pop, and alternative music.
  • B. Larry Cipa
    Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
  • C. Ted Briskin
    Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
  • D. Joe Perrino
    Joe Perrino is an American actor best known for his role as the young Lorenzo "Shakes" Carcaterra in the 1996 crime drama film "Sleepers."
  • E. Hank Cicalo
    Hank Cicalo is a recording engineer best known for his work on influential rock and pop albums, including projects with artists like Carole King and The Monkees.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe3d76c8190a8a5cb52bb9bfc2b completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.