Triple

T8129586
Position Surface form Disambiguated ID Type / Status
Subject Peppermint E189820 entity
Predicate distributor P1951 FINISHED
Object STXfilms E74385 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: STXfilms | Statement: [Peppermint, distributor, STXfilms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STXfilms
Context triple: [Peppermint, distributor, STXfilms]
  • A. STXfilms chosen
    STXfilms is an American film production and distribution company known for mid-budget, star-driven movies across genres.
  • B. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • C. Silverback Films
    Silverback Films is a British production company renowned for creating high-end nature and wildlife documentaries, including major series for Netflix and the BBC.
  • D. 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."
  • E. Troika Pictures
    Troika Pictures is a film production company known for producing feature films such as the thriller "The Call" (2013).
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbebd0d0481908eb6989d1822421a completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:34 p.m.