Triple

T23077775
Position Surface form Disambiguated ID Type / Status
Subject Rapture-Palooza E575377 entity
Predicate productionCompany P490 FINISHED
Object Mimran Schur Pictures 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: Mimran Schur Pictures | Statement: [Rapture-Palooza, productionCompany, Mimran Schur Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimran Schur Pictures
Context triple: [Rapture-Palooza, productionCompany, Mimran Schur Pictures]
  • A. Mimran Schur Pictures chosen
    Mimran Schur Pictures is a film production company known for financing and producing independent and mid-budget feature films.
  • B. Simcha Productions
    Simcha Productions is a film and television production company known for producing projects such as the movie "The Hospital."
  • C. Maddin Films
    Maddin Films is a film production company associated with the work of Canadian avant-garde filmmaker Guy Maddin.
  • D. Misher Films
    Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
  • E. Avi Nesher Productions
    Avi Nesher Productions is a film production company associated with Israeli filmmaker Avi Nesher, known for producing his feature films.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c6455f48190b84eaecdead0d963 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.