Triple

T13572544
Position Surface form Disambiguated ID Type / Status
Subject Arthur Sheekman E324199 entity
Predicate notableWork P4 FINISHED
Object Horse Feathers E277267 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: Horse Feathers | Statement: [Arthur Sheekman, notableWork, Horse Feathers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horse Feathers
Context triple: [Arthur Sheekman, notableWork, Horse Feathers]
  • A. Horse Feathers chosen
    Horse Feathers is a 1932 Marx Brothers comedy film known for its anarchic humor and satire of college life and American football.
  • B. Fuddy Meers
    Fuddy Meers is a darkly comic stage play by David Lindsay-Abaire that follows an amnesiac woman piecing together her identity amid a cast of bizarre and dysfunctional characters.
  • C. De komedianten
    De komedianten is a historical novel by Dutch author Louis Couperus that explores the lives and intrigues of traveling actors in 18th-century Italy.
  • D. The Shaggy Dog
    The Shaggy Dog is a 1959 Disney live-action comedy film about a teenage boy who is magically transformed into an Old English Sheepdog, leading to a series of humorous misadventures.
  • E. Duck Soup
    Duck Soup is a classic 1933 Marx Brothers political satire film renowned for its rapid-fire wit and anarchic comedy.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb827d48190958e5710d554cd04 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.