Triple

T1715006
Position Surface form Disambiguated ID Type / Status
Subject It (2017 film) E37270 entity
Predicate producer P490 FINISHED
Object Roy Lee E153119 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: Roy Lee | Statement: [It (2017 film), producer, Roy Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Lee
Context triple: [It (2017 film), producer, Roy Lee]
  • A. Roy Lee chosen
    Roy Lee is an American film producer known for developing and producing numerous successful Hollywood remakes and animated features, including The Lego Movie.
  • B. Robert Lee Huff
    Robert Lee Huff, better known as Sam Huff, was a Hall of Fame American football linebacker who starred for the New York Giants and Washington Redskins in the 1950s and 1960s.
  • C. Rosco Gordon
    Rosco Gordon was an American blues and R&B singer, pianist, and songwriter known for his distinctive offbeat piano style that influenced early rock and roll and ska.
  • D. Semeka Randall
    Semeka Randall is a former American college basketball star and WNBA guard best known for her standout career under coach Pat Summitt at the University of Tennessee.
  • E. Floyd Lawson
    Floyd Lawson is the mild-mannered, talkative barber of Mayberry on the classic American television sitcom "The Andy Griffith Show."
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633349248190822e560fde817fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae3ea048190b25beeb4bd7306ce completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.