Triple

T7603900
Position Surface form Disambiguated ID Type / Status
Subject Maleficent: Mistress of Evil E180052 entity
Predicate productionCompany P490 FINISHED
Object Roth Films E241101 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: Roth Films | Statement: [Maleficent: Mistress of Evil, productionCompany, Roth Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth Films
Context triple: [Maleficent: Mistress of Evil, productionCompany, Roth Films]
  • A. Roth Films chosen
    Roth Films is a film production company founded by producer Joe Roth, known for backing major Hollywood fantasy and action movies such as "Snow White and the Huntsman."
  • B. Romulus Films
    Romulus Films is a British film production and distribution company known for backing several notable mid-20th-century films.
  • C. RSA Films
    RSA Films is a renowned commercial and film production company known for creating high-profile advertising campaigns and visual storytelling for global brands.
  • D. R2 Films
    R2 Films is a film production company known for its involvement in the acclaimed drama "Dallas Buyers Club."
  • E. Rhino Films
    Rhino Films is an independent film production company known for backing distinctive and often offbeat projects, including the cult classic adaptation of "Fear and Loathing in Las Vegas."
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684f3cf08190bc3cbafbd8c1b9a0 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.