Triple

T5188531
Position Surface form Disambiguated ID Type / Status
Subject The Rainmaker E117089 entity
Predicate adaptationOf P1926 FINISHED
Object The Rainmaker (novel) 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 (novel) | Statement: [The Rainmaker, adaptationOf, The Rainmaker (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rainmaker (novel)
Context triple: [The Rainmaker, adaptationOf, The Rainmaker (novel)]
  • A. 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.
  • B. Rainmaker
    "Rainmaker" is a song by Bruce Springsteen featured on his 2020 studio album "Letter to You."
  • C. 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.
  • D. The Millionaire
    The Millionaire is a 1931 American pre-Code comedy film starring George Arliss as a retired businessman who secretly returns to work, produced by Warner Bros. and associated with filmmaker Bryan Foy.
  • E. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefbcbd1881908afc477150135961 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:46 p.m.