Triple

T20246223
Position Surface form Disambiguated ID Type / Status
Subject Pure Country E498430 entity
Predicate musicBy P1952 FINISHED
Object Steve Dorff 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: Steve Dorff | Statement: [Pure Country, musicBy, Steve Dorff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Dorff
Context triple: [Pure Country, musicBy, Steve Dorff]
  • A. Steve Dorff chosen
    Steve Dorff is an American songwriter and composer known for his prolific work in country and pop music, including numerous hits for major recording artists and film and television scores.
  • B. Andrew Dorff
    Andrew Dorff was an American country music songwriter known for penning hits for artists such as Blake Shelton, Kenny Chesney, and Rascal Flatts.
  • C. Michael Vogel
    Michael Vogel is an American television writer and producer best known for his work on animated series such as My Little Pony: Friendship Is Magic and its feature film adaptation.
  • D. Joe Roth
    Joe Roth is an American film producer and studio executive who became a prominent sports figure as the lead investor and former majority owner of Major League Soccer’s Seattle Sounders FC.
  • E. Stephen Dorff
    Stephen Dorff is an American actor known for his intense performances in films such as "Blade," "Somewhere," and numerous independent and genre movies.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a26c8481908f408fb6426aece9 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.