Triple

T6222390
Position Surface form Disambiguated ID Type / Status
Subject Be Kind Rewind E139145 entity
Predicate productionCompany P490 FINISHED
Object Partizan Films
Partizan Films is an independent film and music video production company known for its work with innovative directors and distinctive, visually creative projects.
E577731 NE FINISHED

How this triple was built (4 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: Partizan Films | Statement: [Be Kind Rewind, productionCompany, Partizan Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Partizan Films
Context triple: [Be Kind Rewind, productionCompany, Partizan Films]
  • A. Zagreb Film
    Zagreb Film is a renowned Croatian animation studio, best known for its distinctive artistic style and influential contributions to European and global animated film.
  • B. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • C. Minerva Film
    Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
  • D. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • E. Constantin Film
    Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Partizan Films
Triple: [Be Kind Rewind, productionCompany, Partizan Films]
Generated description
Partizan Films is an independent film and music video production company known for its work with innovative directors and distinctive, visually creative projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Partizan Films
Target entity description: Partizan Films is an independent film and music video production company known for its work with innovative directors and distinctive, visually creative projects.
  • A. Zagreb Film
    Zagreb Film is a renowned Croatian animation studio, best known for its distinctive artistic style and influential contributions to European and global animated film.
  • B. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • C. Minerva Film
    Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
  • D. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • E. Constantin Film
    Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
  • F. None of above. chosen

Provenance (5 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bddb688190add53172a7445d01 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dcc5e788190a510cac6bbad4830 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21498cfc0819097d1fa9cb10f7a92 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c215689f288190a54fb3fc7984455a completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:22 p.m.