Triple

T7755635
Position Surface form Disambiguated ID Type / Status
Subject Topper (1937 film) E175888 entity
Predicate character P662 FINISHED
Object George Kerby E720002 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: George Kerby | Statement: [Topper (1937 film), character, George Kerby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Kerby
Context triple: [Topper (1937 film), character, George Kerby]
  • A. George Kerby chosen
    George Kerby is a charming, mischievous ghost who serves as one of the central comedic figures in the classic "Topper" film series.
  • B. Bill Kerby
    Bill Kerby is an American screenwriter known for his work on films such as "The Rose" and other character-driven dramas.
  • C. James T. Kelley
    James T. Kelley was an early 20th-century film actor best known for his supporting roles in silent comedies, including several Charlie Chaplin films.
  • D. John Hembree
    John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
  • E. George McConnell
    George McConnell is an American guitarist best known for his tenure with the Southern rock/jam band Widespread Panic in the early 2000s.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d9d8fc8190b51faeb081ee425f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd66d1507c8190a84a69cd0130bb3b completed April 1, 2026, 6:41 p.m.
Created at: March 27, 2026, 4:08 p.m.