Triple

T8182391
Position Surface form Disambiguated ID Type / Status
Subject Mack Swain E191093 entity
Predicate employer P7 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: [Mack Swain, employer, Mutual Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutual Film
Context triple: [Mack Swain, employer, 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. 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."
  • D. M6 Films
    M6 Films is a French film production company known for backing popular international action and thriller movies.
  • E. Mandeville Films
    Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4db8748190aa785e0c70fac497 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.