Triple

T17142312
Position Surface form Disambiguated ID Type / Status
Subject Virginia Madsen E415997 entity
Predicate notableWork P4 FINISHED
Object The Rainmaker E117089 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 Rainmaker | Statement: [Virginia Madsen, notableWork, The Rainmaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rainmaker
Context triple: [Virginia Madsen, notableWork, The Rainmaker]
  • A. The Rainmaker
    The Rainmaker is a 1956 romantic drama film, based on N. Richard Nash’s play, about a charismatic con man who promises to bring rain to a drought-stricken town while transforming the lives of its residents.
  • B. The Rainmaker chosen
    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.
  • C. Rainmaker
    "Rainmaker" is a song by Bruce Springsteen featured on his 2020 studio album "Letter to You."
  • D. The Hucksters
    The Hucksters is a 1947 satirical drama film about postwar American advertising, starring Clark Gable and featuring Sydney Greenstreet in a memorable supporting role.
  • E. The Big Steal
    The Big Steal is a 1990 Australian teen crime-comedy film about a young man who schemes to impress a girl by upgrading his car, only to get entangled in a used-car dealer’s dodgy dealings.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d5de10819090cbd65661b018d3 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.