Triple

T5643854
Position Surface form Disambiguated ID Type / Status
Subject Frances Rafferty E124334 entity
Predicate notableWork P4 FINISHED
Object The Hucksters E206138 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: The Hucksters | Statement: [Frances Rafferty, notableWork, The Hucksters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hucksters
Context triple: [Frances Rafferty, notableWork, The Hucksters]
  • A. The Hucksters chosen
    The Hucksters is a 1947 satirical drama film about postwar American advertising, starring Clark Gable and featuring Sydney Greenstreet in a memorable supporting role.
  • B. Fools' Parade
    Fools' Parade is a 1971 crime drama film, based on a Davis Grubb novel, about three ex-convicts facing corruption and violence when they try to collect their prison savings in a small West Virginia town.
  • C. Stiltsville
    Stiltsville is a historic collection of wooden stilt houses built over the shallow waters of Biscayne Bay near Miami, Florida.
  • D. The Horseshoe
    The Horseshoe is the iconic, horseshoe-shaped football stadium at The Ohio State University, officially known as Ohio Stadium.
  • E. The Rainmaker
    The Rainmaker is a 1997 legal drama film based on John Grisham’s novel, centered on a young lawyer taking on a powerful insurance company.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d80396c81909e26da3b5ca5ea34 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.