Triple

T12947547
Position Surface form Disambiguated ID Type / Status
Subject Stuck in Love E309807 entity
Predicate productionCompany P490 FINISHED
Object Mimran Schur Pictures E377513 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: Mimran Schur Pictures | Statement: [Stuck in Love, productionCompany, Mimran Schur Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimran Schur Pictures
Context triple: [Stuck in Love, 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. 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."
  • C. Shula Spiegel Productions
    Shula Spiegel Productions is a television production company known for its work on the Israeli espionage drama series "Tehran."
  • D. David Kirschner Productions
    David Kirschner Productions is an American film and television production company best known for producing family-oriented movies and animated features.
  • E. Kasdan Pictures
    Kasdan Pictures is a film production company best known for producing the 1992 romantic thriller "The Bodyguard" starring Whitney Houston and Kevin Costner.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.