Triple

T13723321
Position Surface form Disambiguated ID Type / Status
Subject Capitalism: A Love Story E329090 entity
Predicate productionCompany P490 FINISHED
Object Dog Eat Dog Films E1058361 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: Dog Eat Dog Films | Statement: [Capitalism: A Love Story, productionCompany, Dog Eat Dog Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dog Eat Dog Films
Context triple: [Capitalism: A Love Story, productionCompany, Dog Eat Dog Films]
  • A. Dog Eat Dog Films chosen
    Dog Eat Dog Films is a film production company founded by Michael Moore, best known for producing his politically charged documentary features.
  • B. Mad Dog Films
    Mad Dog Films is a television production company best known for producing the sketch comedy series MADtv.
  • C. Big Dog Films
    Big Dog Films is a film production company best known for producing the 1998 crime drama film "Belly."
  • D. Black Dog Films
    Black Dog Films is a production company and subsidiary of RSA Films known for creating innovative music videos, commercials, and short-form visual content.
  • E. Raindog Films
    Raindog Films is a British film production company co-founded by musician Peter Gabriel, known for producing socially conscious and politically themed films such as "Eye in the Sky."
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0676e50819085fe48f86c0f93d8 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:55 p.m.