Triple

T14464430
Position Surface form Disambiguated ID Type / Status
Subject World's Greatest Dad E358669 entity
Predicate producer P490 FINISHED
Object Darko Entertainment E1043064 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: Darko Entertainment | Statement: [World's Greatest Dad, producer, Darko Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darko Entertainment
Context triple: [World's Greatest Dad, producer, Darko Entertainment]
  • A. Darko Entertainment chosen
    Darko Entertainment is an American film production company known for backing offbeat, genre-bending independent movies.
  • B. Dirrty Entertainment
    Dirrty Entertainment is a music production company associated with the artist Dirrty, focusing on creating and releasing their recorded works.
  • C. Partizan Entertainment
    Partizan Entertainment is a film and television production company known for producing a range of feature films, commercials, and music videos.
  • D. D-3 Entertainment
    D-3 Entertainment is a music record label known for releasing hip-hop and rap projects, including work by Wu-Tang Clan member Ol' Dirty Bastard (ODB).
  • E. DRT Entertainment
    DRT Entertainment was an independent American record label known for releasing rock and metal albums in the early 2000s.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64973dc08190ab893c95ea3f066c completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.