Triple

T16697926
Position Surface form Disambiguated ID Type / Status
Subject Follow Me Quietly E405764 entity
Predicate producer P490 FINISHED
Object Sid Rogell E446684 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: Sid Rogell | Statement: [Follow Me Quietly, producer, Sid Rogell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Rogell
Context triple: [Follow Me Quietly, producer, Sid Rogell]
  • A. Sid Rogell chosen
    Sid Rogell was an American film producer active during Hollywood's studio era, known for overseeing a variety of genre films.
  • B. Larry Bryggman
    Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
  • C. Jon Gries
    Jon Gries is an American actor and director best known for his character roles in films and TV series such as "Napoleon Dynamite," "Lost," and "The White Lotus."
  • D. Gary Kellgren
    Gary Kellgren was an influential American recording engineer and producer best known for co-founding the famed Record Plant studios and working with major rock and pop artists in the 1960s and 1970s.
  • E. Joe Rohde
    Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.