Triple

T22716424
Position Surface form Disambiguated ID Type / Status
Subject Mom and Dad (2017 film) E561743 entity
Predicate productionCompany P490 FINISHED
Object XYZ 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: XYZ Films | Statement: [Mom and Dad (2017 film), productionCompany, XYZ Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XYZ Films
Context triple: [Mom and Dad (2017 film), productionCompany, XYZ Films]
  • A. XYZ Films chosen
    XYZ Films is a film production company known for producing the dark comedy-thriller "I Don’t Feel at Home in This World Anymore."
  • B. 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."
  • C. Apache Films
    Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
  • D. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • E. The Movie Company
    The Movie Company is a film production company best known for its involvement in the 1975 Australian–Hong Kong action film "The Man from Hong Kong."
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.