Triple

T13694835
Position Surface form Disambiguated ID Type / Status
Subject Shug (Hustle & Flow) E328356 entity
Predicate productionCompanyOfWork P25234 FINISHED
Object MTV Films E113511 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: MTV Films | Statement: [Shug (Hustle & Flow), productionCompanyOfWork, MTV Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Films
Context triple: [Shug (Hustle & Flow), productionCompanyOfWork, MTV Films]
  • A. MTV Films chosen
    MTV Films is an American film production company known for creating movies tied to MTV’s youth-oriented brand and pop culture programming.
  • B. Mavin Films
    Mavin Films is the film and visual content production arm associated with Nigerian music label Mavin Records.
  • C. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • D. Sketch Films
    Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
  • E. Shoebox Films
    Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.