Triple

T10026185
Position Surface form Disambiguated ID Type / Status
Subject The Battle of the Sexes (1914 film) E200730 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 Battle of the Sexes (1914 film), distributor, Mutual Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutual Film
Context triple: [The Battle of the Sexes (1914 film), 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. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.