Triple

T7106077
Position Surface form Disambiguated ID Type / Status
Subject Navalny E165585 entity
Predicate productionCompany P490 FINISHED
Object CNN Films E642009 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: CNN Films | Statement: [Navalny, productionCompany, CNN Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN Films
Context triple: [Navalny, productionCompany, CNN Films]
  • A. CNN Films chosen
    CNN Films is a documentary film division of CNN that produces and acquires non-fiction feature films for theatrical release and television broadcast.
  • B. Echo Films
    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."
  • C. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • D. Sketch Films
    Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
  • E. 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."
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b892008190827fa1e5eab2e558 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3231f9c8190a19ddff3f5bf7cac completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:42 p.m.