Triple

T20390616
Position Surface form Disambiguated ID Type / Status
Subject Unthinkable E498073 entity
Predicate productionCompany P490 FINISHED
Object RainMaker Films NE NERFINISHED

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: RainMaker Films | Statement: [Unthinkable, productionCompany, RainMaker Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RainMaker Films
Context triple: [Unthinkable, productionCompany, RainMaker Films]
  • A. Rainmaker Entertainment chosen
    Rainmaker Entertainment is a Canadian computer animation studio known for producing feature films and television series, including the animated movie "Escape from Planet Earth."
  • B. Rainmark Films
    Rainmark Films is a British film and television production company known for producing high-quality dramas and feature films.
  • C. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • D. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • E. Cineyug Films
    Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.