Triple

T19416119
Position Surface form Disambiguated ID Type / Status
Subject The Weak and the Wicked E485719 entity
Predicate productionCompany P490 FINISHED
Object Group 3 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: Group 3 Films | Statement: [The Weak and the Wicked, productionCompany, Group 3 Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Group 3 Films
Context triple: [The Weak and the Wicked, productionCompany, Group 3 Films]
  • A. Group Three Films chosen
    Group Three Films is a British film production company known for producing mid-20th-century feature films, including dramas and comedies.
  • B. Division Films
    Division Films is an independent film production company best known for producing the 2012 crime drama "Spring Breakers."
  • C. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • D. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • E. Firm Films
    Firm Films is a film production company best known for producing the supernatural horror drama "The Exorcism of Emily Rose."
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af9c8fc81909860de10b6720207 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.