Triple

T8028808
Position Surface form Disambiguated ID Type / Status
Subject Carousel (film) E186922 entity
Predicate character P662 FINISHED
Object Enoch Snow E333726 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: Enoch Snow | Statement: [Carousel (film), character, Enoch Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enoch Snow
Context triple: [Carousel (film), character, Enoch Snow]
  • A. Enoch Snow chosen
    Enoch Snow is a central character in the Rodgers and Hammerstein musical "Carousel," portrayed as an ambitious fisherman with strong moral values and comic earnestness.
  • B. Harmon Jones
    Harmon Jones was an American film editor and director active in Hollywood during the mid-20th century, known for his work on several notable studio productions.
  • C. Charlie Dunbar
    Charlie Dunbar Broad was a prominent 20th-century British philosopher known for his influential work in epistemology, ethics, and the philosophy of mind.
  • D. Deacon White
    Deacon White was a 19th-century Major League Baseball catcher and third baseman renowned as one of the sport’s earliest stars and a Hall of Fame inductee.
  • E. Lewis Branscomb
    Lewis Branscomb was an American physicist and influential science and technology policy leader known for his work at the intersection of research, innovation, and public policy.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecdbc5881909246982b93978841 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e146048190a97b3b37d1eec0b8 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:21 p.m.