Triple

T12393884
Position Surface form Disambiguated ID Type / Status
Subject The Champion E296065 entity
Predicate distributor P1951 FINISHED
Object Mutual Film E68527 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: Mutual Film | Statement: [The Champion, distributor, Mutual Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutual Film
Context triple: [The Champion, distributor, Mutual Film]
  • A. Mutual Film Corporation chosen
    Mutual Film Corporation was an early 20th-century American film production and distribution company known for producing silent films during the formative years of Hollywood.
  • B. Minerva Film
    Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
  • C. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • D. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • E. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.