Triple

T21354660
Position Surface form Disambiguated ID Type / Status
Subject Mitch Kessler E526583 entity
Predicate productionCompanyOfWork P25234 FINISHED
Object Echo 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: Echo Films | Statement: [Mitch Kessler, productionCompanyOfWork, Echo Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Echo Films
Context triple: [Mitch Kessler, productionCompanyOfWork, Echo Films]
  • A. Echo Films chosen
    Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
  • B. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • 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. Icon Films
    Icon Films is a British television production company known for creating popular factual and wildlife documentary series, including the hit show "River Monsters."
  • E. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9be3a48190aa8e6e9a5b812981 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:06 p.m.