Triple

T22310886
Position Surface form Disambiguated ID Type / Status
Subject Don Law E551508 entity
Predicate producedForArtist P14044 FINISHED
Object Carl Smith 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: Carl Smith | Statement: [Don Law, producedForArtist, Carl Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Smith
Context triple: [Don Law, producedForArtist, Carl Smith]
  • A. Carl Smith chosen
    Carl Smith was an American country music singer and guitarist prominent in the 1950s, known for hits like "Hey Joe" and for his influential honky-tonk style.
  • B. Art Smith
    Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
  • C. Art Smith
    Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
  • D. Art Smith
    Art Smith was an aviator whose contributions to aviation were significant enough that an aero training and education facility was named in his honor.
  • E. Mel Smith
    Mel Smith was a British comedian, actor, and director best known for his work on the sketch show "Not the Nine O'Clock News" and for directing popular films such as "Bean."
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574e7fc0819080e3e85001ab2c90 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.